Find Your Dream Data Analyst Job in India

About the role:

We are looking for skilled and motivated Data Analyst with strong expertise in driving insights from data and advanced proficiency in Excel, who has 4-6 years of experience on SE/AM level. The ideal candidate should be able to transform raw data into actionable insights that derive informed business decisions. He/she will work closely with cross-functional teams to provide analytical support and reporting solutions, leveraging analytical skills and tools like VBA, Power BI, Tableau, and Salesforce.

Below is the Job description and other qualification that we are looking :

Key Responsibilities:

• Analyze complex datasets and deliver clear, actionable insights to support business strategies and decision-making processes.
• Develop and maintain reports and dashboards in Excel, Power BI, Tableau, or Salesforce to monitor business performance.
• Design and implement data collection and analysis methodologies to ensure accurate reporting and forecasting.
• Collaborate with stakeholders to identify key performance indicators (KPIs) and translate them into effective reporting solutions.
• Conduct ad-hoc data analysis and provide recommendations for business improvements based on data trends.
• Automate data processes and reporting using VBA and other scripting tools to improve efficiency.
• Prepare detailed reports and presentations to communicate findings to both technical and non-technical teams.
• Support the integration of various data sources, including CRM systems such as Salesforce, to create comprehensive views of business performance.
• Troubleshoot and resolve data discrepancies and report issues as needed.
• Ability to work independently and manage multiple tasks and deadlines.

Preferred Skills, Qualifications

• Bachelor's degree in Data Analytics, Business Analytics, or a related field (A Bachelor's degree in any field is acceptable, as long as the candidate possesses strong data analytical skills.)
• Strong proficiency in Excel for data analysis and automating repetitive tasks.
• Familiarity with VBA, Power BI, Power Automate SQL, and Salesforce Lightning Reports.
• Familiarity with statistical analysis techniques and tools.
• Understanding of business intelligence principles and best practices.

Designation - Associate - Data Analyst

Location - Mumbai, Lower Parel

About Us:

The Souled Store is a homegrown youth casual-wear brand started in 2013. We are one of India's largest online merchandising platforms with licenses like Disney, Warner Bros; WWE, IPL, Viacom18 to name a few. Apart from selling products with themed designs such as superheroes, movies, TV shows, and cartoons, the brand also is at the forefront of the latest youth style and fashion trends. In addition to core men and women wear apparel categories, we have also expanded to new categories and introduced new product lines like activewear, supima products, innerwear, personal care products like perfumes etc. We have also launched footwear and kidswear recently.

Although we are primarily an online brand, we've expanded in the offline retail space as well and have stores pan India. The Souled Store was born out of the idea of loving what you do, from the soul. We believe that people do their best work when they love what they do. There are too many Monday mornings and you can't go dreading every single one of them. Over the years, we have built a strong team of like-minded people that work smart, own their work, and think like leaders. If you identify with what we do and are interested in being a part of an aggressively growing brand, we would love to have you on Board!

Work Overview :

The Associate Data Analyst will assist in the collection, processing, and analysis of data to help drive business insights. This role requires an analytical mindset, proficiency in data analysis tools, and the ability to present actionable insights to business stakeholders.

Key Responsibilities:

• Data Collection & Preparation - Gather, clean, and preprocess large datasets from multiple sources
• Ensure data accuracy and consistency
• Collaborate with functional teams, tech teams to improve data pipelines
• Data Analysis - Identify trends and patterns through exploratory data analysis
• Apply statistical methods to derive insights
• Build and maintain dashboards and reports
• Reporting & Communication - Present actionable insights to support business decisions
• Work with teams across sourcing, category and operations
• Simplify complex data findings for non-technical stakeholders
• Supply chain and operations improvement - Conduct data-driven research and analysis to improve process efficiency of sourcing activities
• Conduct partner evaluations across performance KPIs and suggest corrective aciton
• Tool Proficiency - Very strong in Excel, Power BI and experience in SQL, Python etc.
• Automate tasks and build visual reports
• Continuous Improvement - Stay updated with data trends and tools
• Improve processes in data handling and reporting

Qualifications:

Educational Background: Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, or related field.

Experience: 0-2 years of experience in data analysis or related fields (internships or academic projects can be considered).

Ability to clearly communicate complex data insights to stakeholders.

Strong problem-solving abilities with attention to detail.

Knowledge of machine learning or AI concepts can be advantageous.

Role Description

The Data Analyst will be responsible for analyzing large datasets, creating data models, and generating insightful reports. Key day-to-day tasks include using statistical techniques to interpret data, developing and implementing data collection systems, and ensuring data accuracy. The Data Analyst will also present findings to stakeholders through clear communication and visualizations.

Qualifications

• Strong Analytical Skills and proficiency in Data Analytics
• Knowledge and experience in Statistics and Data Modeling
• Excellent Communication skills to present findings to stakeholders
• Detail-oriented with the ability to interpret and visualize data accurately
• Ability to work independently and remotely
• Experience with data visualization tools such as Tableau or Power BI is a plus
• Bachelor's degree in Data Analytics, Statistics, Computer Science, or a related field

Business/Data Analyst

Role Overview:

As a Business/Data Analyst, you will be the analytical backbone of our Academics

team. Your role goes beyond numbers - you will uncover insights, build intelligent dashboards,

improve academic processes, and enable data-driven decision-making across functions. With a

deep understanding of data management and visualization, you will drive performance, identify

problems, and shape the strategic direction of academic operations at scale.

What You'll Do:

• Build Dashboards & Reporting Tools: Develop real-time dashboards and automated

reports to track key academic metrics, performance indicators, and team-level

productivity.

• Uncover Insights: Analyze large volumes of academic data to identify trends, problem

areas, and opportunities for improvement in student engagement, outcomes, and

curriculum effectiveness.

• Data Management: Set up and maintain clean, organized databases - ensuring data

accuracy, completeness, and consistency across platforms.

• Process Optimization: Deep-dive into existing academic workflows to identify

inefficiencies, design better processes, and monitor improvements through measurable

KPIs.

• Visualization & Storytelling: Transform complex data into intuitive visualizations and

presentations that help teams understand performance and take timely action.

• Cross-functional Collaboration: Work closely with the Product, Tech, and Academic

Operations teams to ensure data alignment and to integrate insights into everyday

decision-making.

What Success Looks Like:

• Clear, accessible dashboards in use across academic teams for decision-making.

• Actionable insights delivered regularly, leading to measurable improvements in academic

outcomes.

• Improved academic processes, measured by reduced inefficiencies and improved student

performance metrics.

• High stakeholder satisfaction with reporting accuracy, accessibility, and utility.

• Increased data maturity within the Academics team - from intuition-led to insight-led

decision-making.

What We're Looking For:

• 2-5 years of experience as a business analyst, data analyst, or in a similar role involving

data-driven problem-solving.

• Strong proficiency in Google Sheets is a must - including advanced formulas, pivot

tables, data cleaning, automation, and dashboarding.

• Experience with SQL and at least one data visualization platform (e.g., Power BI,

Tableau, Looker, or Google Data Studio) is a plus.

• Deep analytical thinking with the ability to translate complex data into clear insights.

• Experience working cross-functionally with non-technical stakeholders and product/tech

teams.

• Strong attention to detail, data hygiene, and process discipline.

Role Description

The Junior Data Analyst will be responsible for collecting, processing, and performing statistical analyses on large datasets. You will generate and prepare reports, identify patterns and trends, and present actionable insights to support data-driven decision-making. Additional duties include maintaining data accuracy and integrity, creating dashboards, and collaborating with cross-functional teams to understand and address data needs.

Qualifications

• Strong analytical skills, with proficiency in statistical methods and data analysis tools
• Experience with data collection, processing, and management
• Proficiency in SQL, Excel, and data visualization tools such as Tableau or Power BI
• Attention to detail and a strong commitment to data accuracy
• Excellent written and verbal communication skills
• Ability to work independently and remotely
• Relevant experience in the field or a degree in Statistics, Mathematics, Computer Science, or related area

About the role:

We are looking for skilled and motivated Data Analyst with strong expertise in driving insights from data and advanced proficiency in Excel, who has 4-6 years of experience on SE/AM level. The ideal candidate should be able to transform raw data into actionable insights that derive informed business decisions. He/she will work closely with cross-functional teams to provide analytical support and reporting solutions, leveraging analytical skills and tools like VBA, Power BI, Tableau, and Salesforce.

Below is the Job description and other qualification that we are looking :

Key Responsibilities:

• Analyze complex datasets and deliver clear, actionable insights to support business strategies and decision-making processes.
• Develop and maintain reports and dashboards in Excel, Power BI, Tableau, or Salesforce to monitor business performance.
• Design and implement data collection and analysis methodologies to ensure accurate reporting and forecasting.
• Collaborate with stakeholders to identify key performance indicators (KPIs) and translate them into effective reporting solutions.
• Conduct ad-hoc data analysis and provide recommendations for business improvements based on data trends.
• Automate data processes and reporting using VBA and other scripting tools to improve efficiency.
• Prepare detailed reports and presentations to communicate findings to both technical and non-technical teams.
• Support the integration of various data sources, including CRM systems such as Salesforce, to create comprehensive views of business performance.
• Troubleshoot and resolve data discrepancies and report issues as needed.
• Ability to work independently and manage multiple tasks and deadlines.

Preferred Skills, Qualifications

• Bachelor's degree in Data Analytics, Business Analytics, or a related field (A Bachelor's degree in any field is acceptable, as long as the candidate possesses strong data analytical skills.)
• Strong proficiency in Excel for data analysis and automating repetitive tasks.
• Familiarity with VBA, Power BI, Power Automate SQL, and Salesforce Lightning Reports.
• Familiarity with statistical analysis techniques and tools.
• Understanding of business intelligence principles and best practices.

About CloudLabs:

CloudLabs Inc was founded in 2014 with the mission to provide exceptional IT & Business consulting services at a competitive price, to help clients realize the best value from their investments.

Within a short span, CloudLabs evolved from pure-play consulting into a transformative partner for Business Acceleration Advisory, Transformative Application Development & Managed Services - enabling digital transformations, M&A transitions, Automation & Process-driven optimizations & complex Integration initiatives for enterprises across the globe.

As a Strategic Planning & Implementation Partner for global companies, CloudLabs has seen a 200% uptake in winning high-value, high-impact and high-risk projects that are critical for the business.

With offices in the US, Canada, Australia & India and with the team of 150+ experienced specialists, CloudLabs is now at an inflection point and ready for its next curve of progress.

Please write & follow us here:

Website:

LinkedIn: CloudLabs Inc

Email us:

What we offer:

• We welcome candidates rejoining the workforce after career break/parental leave and support their journey to reacclimatize too corporate.
• Flexible remote work.
• Competitive pay package.
• Attractive policy, medical insurance benefits, industry leading training.
• Opportunity to work remotely is available.

Experience Required: Minimum 4 years' experience.

Job Location: India

Job Type: Remote

Job description:

We're seeking a detail-oriented Tester/Systems Analyst to join our Global Clinical IT team. This role focuses on validating data and reporting workflows, ensuring accuracy and performance across systems that support clinical trials. The ideal candidate will have strong experience working with Oracle databases, Tableau Reports, and data pipelines (ingestion, transformation, monitoring and validation). Unlike a traditional Business Analyst, this role is primarily focused on testing and quality assurance, not requirements gathering.

Duties and Responsibilities

• Collaborate with the Product Owner to define features, acceptance criteria, and support iterative grooming of user stories.
• Analyze current systems and data models, understand systems of record and systems of engagement.
• Develop and execute test plans, scenarios, and scripts for data ingestion, transformation, and reporting processes.
• Validate data across Oracle databases, ETL pipelines, and Tableau reports.
• Perform functional, integration, regression, and system testing in Agile sprint cycles.
• Collaborate with Product Owners, developers, and data engineers to understand system workflows and data sources.
• Troubleshoot and track defects to resolution; perform root cause analysis.
• Support test documentation for validation and compliance (especially in regulated environments).
• Participate in Agile ceremonies including sprint planning and daily standups.
• Contribute to continuous improvement of testing practices and automation opportunities.

What we're looking for:

• 4+ years of experience in a QA/Tester or Data Analyst role with a strong testing focus.
• Hands-on experience validating data pipelines, ingestion processes, and transformation logic.
• Strong SQL skills for querying and validating data, preferably in Oracle.
• Experience testing Tableau dashboards for data accuracy and visual integrity.
• Understanding of ETL tools and cloud environments (e.g., AWS S3, Athena).
• Attention to detail, analytical mindset, and ability to work independently.
• Strong communication skills to interface both technical and non-technical stakeholders.

Preferred but not required qualifications:

• Bachelor's degree in a related field.
• Experience in medical devices, pharmaceutical, or other regulated industries.
• Familiarity with clinical trial data and workflows.

About Workafy:

Join Workafy, a freelance marketplace connecting 500,000+ professionals with global opportunities. Work on projects that match your skills, anytime, anywhere.

Job Description:

Seeking detail-oriented Data Analysts to help clients analyze data, generate insights, and support decision-making.

Responsibilities:

• Collect, clean, and interpret data for business insights.
• Develop reports and visualizations using analytics tools.
• Identify trends and optimize data-driven strategies.

Requirements:

• Experience in data analysis and reporting.
• Proficiency in Excel, SQL, Python, or Power BI.
• Strong analytical and problem-solving skills.

Why Join Us?

• Work on diverse data projects.
• Flexible freelance opportunities.
• Be part of a thriving professional network.

Apply now at and grow your freelance career as a Data Analyst!

Greetings from TCS!

Role : Data Analyst - SQL

Exp Range : 5 yrs to 8 yrs

Location : Mumbai - Walk In drive

Date : 28th June

Required Technical Skill Set :Teradata/SQL/ Python with Data Transformation, Implementation, Data Management framework.

Job Description :

Prior experience in Customer Data area

• Understanding and clarifying the business need/opportunity/problem

• Data Collection and Preparation as needed for analysis

• Perform data mining and exploratory data analysis to Identify patterns, trends, and outliers within datasets

• Create visualizations (charts, graphs, dashboards) to communicate findings.

• Develop reports and presentations to present findings to stakeholders.

• Develop recommendations based on data findings to improve business performance.

• Communicate findings and recommendations to stakeholders

Regards

Monisha

Greetings from TATA CONSULTANCY SERVICES!

WALK-IN-INTERVIEW

Interview Date: - 28th June 2025

Location: - Mumbai Powai

TCS is hiring for Data Analyst

Experience Range: - 5 to 8 years

Required Technical Skill Set: - Teradata/SQL/ Python with Data Transformation, Implementation, Data Management framework

• Understanding and clarifying the business need/opportunity/problem

• Data Collection and Preparation as needed for analysis

• Perform data mining and exploratory data analysis to Identify patterns, trends, and outliers within datasets

• Create visualizations (charts, graphs, dashboards) to communicate findings.

• Develop reports and presentations to present findings to stakeholders.

• Develop recommendations based on data findings to improve business performance.

• Communicate findings and recommendations to stakeholders

Walk-in drive for Marketing Data analyst on 28-June-2025 at Bangalore location.

Greeting from Infosys BPM Ltd.,

You are kindly invited for the Infosys BPM: MEGA Walk-In Drive on 28th June 2025 at Bangalore.

Note: Please carry copy of this email to the venue and make sure you register your application before attending the walk-in. Please mention Candidate ID on top of the Resume

Please use below link to apply and register your application.

PROGEN-HRODIRECT- 215661

Documents to Carry:

• Please carry 2 set of updated CV (Hard Copy).
• Carry any photo Identity proof (PAN Card /Driving License/Voters ID card/Passport).

Note: - No Parking facility for the candidates.

Interview details:

Interview Date: 28-June-25

Interview Time: 10 AM till 1 PM

Interview Venue:

Infosys BPM Limited. Ground Floor Axis Sai Jyoti,

15th Cross 100 Feet Road, Sarakki, 1st Phase J P Nagar,

Bengaluru, Karnataka 560078

Landmark: Near Sindhoor Convention Centre

Job Description -

Purpose of role:

The role will be a delivery support to the Senior Digital Marketing Manager- Data and Analytics who has responsibilities in delivering client related insight to the business.

This role will also provide consultation on various campaign strategies such as client segmentation approaches. data source review and marketing campaign analysis and evaluation

Qualifications, knowledge and skills:

Qualifications: - Any Graduate

Knowledge/Experience/Skills: -

- Minimum of 4 years of experience in data analysis, preferably in a marketing context.

- Experience of analytics platforms

- Experience of Adobe analytics, adobe target and tableau desirable but not essential

- Awareness of marketing analytics principles and trends

- Experience in Marketing data

Technical skills

- data analysis tools such as SQL, Python, R,

- data visualization tools like Tableau or Power BI

- data management tools such as Snowflake and Data Cloud

- marketing intelligence platforms such as Funnel

- marketing automation platforms and CRM platform data structures

Regard's

Infosys BPM team

Walk-in drive for Marketing Data analyst on 27-June-2025 at Chennai location.

Greeting from Infosys BPM Ltd.,

You are kindly invited for the Infosys BPM: MEGA Walk-In Drive on 27th June 2025 at Chennai.

Note: Please carry copy of this email to the venue and make sure you register your application before attending the walk-in. Please mention Candidate ID on top of the Resume

Please use below link to apply and register your application.

PROGEN-HRODIRECT- 215661

Documents to Carry:

• Please carry 2 set of updated CV (Hard Copy).
• Carry any photo Identity proof (PAN Card /Driving License/Voters ID card/Passport).

Interview details:

Interview Date: 27-June-2025

Interview Time: 10 AM till 1 PM

Interview Venue:

Infosys BPM Limited-Pacifica Tech Park, Old Mahabalipuram Road, Near Punjab Bank, Navalur, Chennai, Tamil Nadu 603103

Job Description -

Purpose of role:

The role will be a delivery support to the Senior Digital Marketing Manager- Data and Analytics who has responsibilities in delivering client related insight to the business.

This role will also provide consultation on various campaign strategies such as client segmentation approaches. data source review and marketing campaign analysis and evaluation

Qualifications, knowledge and skills:

Qualifications: - Any Graduate

Knowledge/Experience/Skills: -

- Minimum of 4 years of experience in data analysis, preferably in a marketing context.

- Experience of analytics platforms

- Experience of Adobe analytics, adobe target and tableau desirable but not essential

- Awareness of marketing analytics principles and trends

- Experience in Marketing data

Technical skills

- data analysis tools such as SQL, Python, R,

- data visualization tools like Tableau or Power BI

- data management tools such as Snowflake and Data Cloud

- marketing intelligence platforms such as Funnel

- marketing automation platforms and CRM platform data structures

Regard's

Infosys BPM team

Greetings from TATA CONSULTANCY SERVICES!

WALK-IN-INTERVIEW

Interview Date: - 28th June 2025

Location: - Mumbai Powai

TCS is hiring for Data Analyst

Experience Range: - 5 to 8 years

Required Technical Skill Set: - Teradata/SQL/ Python with Data Transformation, Implementation, Data Management framework

• Understanding and clarifying the business need/opportunity/problem

• Data Collection and Preparation as needed for analysis

• Perform data mining and exploratory data analysis to Identify patterns, trends, and outliers within datasets

• Create visualizations (charts, graphs, dashboards) to communicate findings.

• Develop reports and presentations to present findings to stakeholders.

• Develop recommendations based on data findings to improve business performance.

• Communicate findings and recommendations to stakeholders

Department: Data & Insights / Strategy & Solutions

Location: Vadodara, Gujarat

Reports To: General Manager - Sales / Solution Architect

Job Type: Full-Time On-Site

1. Job Purpose

The Data Analyst is responsible for collecting, analyzing, and interpreting large datasets generated from IoT systems such as fleet tracking, fuel management, and industrial monitoring. The role supports data-driven decision-making by creating dashboards, generating performance reports, and uncovering trends that lead to operational improvements for both clients and internal teams.

2. Key Responsibilities

• Collect, clean, and analyze structured and unstructured data from IoT sensors, GPS trackers, and application platforms.
• Design and maintain interactive dashboards and reports for internal stakeholders and clients using tools such as Power BI or Tableau.
• Monitor key operational KPIs like fuel consumption, idle time, unauthorized usage, route deviation, etc., across various verticals.
• Perform root cause analysis and identify anomalies, inefficiencies, and data-driven opportunities.
• Collaborate with business analysts, developers, and domain experts to support solution development and validation.
• Generate customized client reports periodically (daily/weekly/monthly) as per SLA or project requirements.
• Assist in predictive modeling and statistical analysis to improve automation and forecasting capabilities.
• Document data handling procedures and maintain data integrity across systems.

3. Qualifications & Experience

• Bachelor's degree in data science, Computer Science, Engineering, Statistics, or related field.
• 1-3 years of experience in a Data Analyst or similar role.
• Strong knowledge of data analysis techniques and tools.
• Experience working with large datasets, preferably from IoT or telemetry-based systems.
• Familiarity with SQL, Excel (advanced), Python/R, and BI platforms (Power BI, Tableau, or similar).

4. Required Skills

• Strong analytical and quantitative skills.
• Ability to interpret technical data into business insights.
• Proficiency in data visualization and dashboard creation.
• Excellent communication and documentation skills.
• Basic understanding of IoT data, GPS logs, or machine telemetry.

5. Preferred Skills

• Experience in industrial domains such as fleet, mining, fuel logistics, or manufacturing.
• Knowledge of time-series data and stream processing.
• Exposure to cloud platforms (Azure, AWS, GCP) and IoT data pipelines.
• Familiarity with APIs and JSON/XML data formats.

6. Key Performance Indicators (KPIs)

• Accuracy and timeliness of reports and dashboards.
• Value and relevance of insights provided to clients or management.
• Reduction in manual effort through automation and scripting.
• Data quality improvement and anomaly detection rates.
• Contribution to data-driven decision-making across departments.

Clarksons Research, the market leading provider of data and intelligence across shipping and trade, is seeking hard-working and enthusiastic individuals to join our expert team to support the expansion and development of our business. Clarksons Research is part of the Clarksons group, the world's leading integrated shipping services provider and a FTSE 250 company headquartered in London.

Clarksons Research is looking for experienced data analysts that are keen to take responsibility for delivering insights to clients based on wide ranging, interesting data sets using the latest data science and analytical techniques, and building data pipelines to facilitate analysis.

The Role

- Lead in proposing plans and implementing systems for processing and analysing big data sets.

- Work with a high-volume data set, including spatial data.

- Develop and use algorithmic and machine learning techniques to extract, transform, derive, aggregate and validate data.

- Work in a fast-paced, motivated and agile team.

- Work alongside data engineers and developers to deliver big data processing solutions and analytics.

Requirements:

- Must have 5+ years' experience in data analytics or data science having worked with big data to build processes and workflows.

- Azure Databricks (minimum 4 years' experience),

- Excellent technical skills in SQL, Python and the Azure eco-system (Storage, ML, Event Hubs)

- Strong numerical, data handling and analytical skills in relation to complex data sets are required.

- Fluency in spoken and written English is essential with the ability to articulate analysis.

- Have an excellent degree in a relevant numerate or analytical subject (e.g. mathematics, chemistry, physics, computer science, engineering etc.)

Salary Competitive (dependent on experience) plus bonus and benefits

Location Gurgaon, Delhi

Number of vacancies 1-2

Start date Q3 2025

Vacancy type 6-12-month fixed term contract, with potential opportunities for extension or transfer to a permanent role.

Further details

How to apply CV and letter, quoting reference CRSL/RES/513 , to Apeksha Mehta:

Closing date 4 th July 2025 (though applications reviewed and accepted immediately)

Internship Opportunity: Data Analyst (2 Positions)

Stipend: 20,000 per month

Duration: 6 months

Location: PATNA/BIHAR) (hybrid)

Job Type: Internship with potential for full-time placement

Bharat Patroller is inviting applications for the role of Data Analyst Intern. This is a hands-on opportunity to work with real data, contribute to business decisions, and grow under the mentorship of experienced professionals.

Key Responsibilities:

• Analyze and interpret structured data to identify trends and insights
• Prepare dashboards and reports using Excel, Power BI, or similar tools
• Assist teams in data-driven decision-making
• Maintain data accuracy and quality across platforms

Eligibility Criteria:

• Strong understanding of Excel and basic knowledge of SQL or Python
• Attention to detail and analytical mindset
• Final-year students or recent graduates preferred
• Eagerness to learn and contribute meaningfully

Perks:

• 20,000 monthly stipend
• Internship certificate and letter of recommendation
• Flexible working hours
• Mentorship and skill development
• Pre-Placement Offer (PPO) based on performance after 6 months

How to Apply:

Send your updated resume to

Use the subject line: Application for Data Analyst Internship - Your Name

Applications are being reviewed on a rolling basis. Early applicants will be given priority.

About the Company

ZeTheta Algorithms Private Limited is a FinTech start-up which has been recently set up and is developing innovative AI tools.

About the Role We are seeking a talented and motivated student intern for a Data Analyst role. This is an extraordinary opportunity for a self-driven, analytically minded student with a passion for extracting meaningful insights from complex datasets and contributing to data-driven decision making.

About the Internship:

As a Data Analyst intern, you will work on cutting-edge projects involving data collection, processing, analysis, and visualization. You will have the opportunity to engage in multiple mini-projects across various functional areas of the company. The internship is designed to provide practical exposure to real-world data analysis and business intelligence.

Key Responsibilities

As part of the internship, you will work through a structured set of assignments designed to enhance your understanding of data analytics methodologies and applications. Your primary responsibilities will include:

Data Collection & Processing

• Gather data from various sources and databases
• Clean and pre-process data to ensure quality and usability
• Develop and maintain data pipelines
• Implement data validation procedures and quality checks

Data Analysis & Modelling

• Apply statistical methods to interpret datasets
• Identify patterns, trends, and correlations in complex data
• Develop predictive models and conduct hypothesis testing
• Create data-driven solutions for business problems

Data Visualization & Reporting

• Create interactive dashboards and visual reports
• Develop compelling data visualizations to communicate findings
• Present analytical insights to stakeholders
• Automate regular reporting processes

Business Intelligence

• Transform raw data into actionable business insights
• Support decision-making processes with data-backed recommendations
• Monitor key performance indicators and metrics
• Identify opportunities for process optimization

Capstone Project

• Complete an end-to-end data analysis project including: Problem definition, Data collection and preparation, Analysis and modelling, Visualization of results, and Recommendations based on findings

What You Will Learn

• Practical experience with data analysis tools and techniques
• Hands-on skills in data visualization and dashboard creation
• Strong analytical and problem-solving abilities
• Effective communication of technical findings to non-technical audiences
• Knowledge of AI and machine learning applications in data analytics

Who Should Apply?

• Student or fresh graduate from any academic discipline
• Strong analytical and quantitative skills
• Basic knowledge of data analysis tools (Excel, SQL, Python, or R)
• Interest in working with data and deriving insights
• Willingness to self-learn and work in a fast-paced environment

Internship Details

Duration: Self-paced. Option of 1 month or 2 months within a period of 4 months provided.

Type: Unpaid

Greetings from TATA CONSULTANCY SERVICES!

WALK-IN-DRIVE "Data Analyst"

Required Skill Set: Teradata /SQL / Python with Data Transformation, Implementation, Data Management framework

Interview Date: 28th June 2025

Years of Experience: 5 - 8 years

Location: Mumbai

Job Description:-

• Understanding and clarifying the business need/opportunity/problem

• Data Collection and Preparation as needed for analysis

• Perform data mining and exploratory data analysis to Identify patterns, trends, and outliers within datasets

• Create visualizations (charts, graphs, dashboards) to communicate findings.

• Develop reports and presentations to present findings to stakeholders.

• Develop recommendations based on data findings to improve business performance.

• Communicate findings and recommendations to stakeholders

Thanks,

Ayushi Gupta

Location - Gurgaon/Noida/Pune

Job Responsibilities:

Responsible for collecting all in- scope Business requirements in an insurance process

Elicit, analyse, specify, validate, and verify the logic breakdown for "To Be" State of Business Solution

Ability to perform detailed analysis of existing systems/processes to ensure all aspects of the Business Solution requirements are understood & mapped

Able to prioritize requirements and negotiate on MVP on behalf of the technical team

Capable of managing all non- technical aspects of the new requirements

Able to map and formalize business requirements, ready for two way communication between

Business and technical channels to normalise a Workable solution "

Experience in capturing details and documenting PRD, BRD, FSD details for creating the Solution Story overview

Capable of working with the Business overview to create User Stories and testing scenarios

Able to create a data mapping document between source and target systems

Experience in Systems Gap Analysis & Wireframing of Solution experience.

SQL experience required/ P&C Insurance experience required.

Qualifications:

• Bachelor's degree (BBA, BCA, BE, B-Tech) with 9-12 Years of Experience
• MBA, Economics/Econometrics MA, MBE (DU), & Similar Masters desirable
• Insurance Qualifications, viz. FII, CPCU, CII, ARM - highly preferred

Overview: Attero Recycling Private Limited is a NASA-recognized metal extraction company and end-to-end recycler of Li-Ion Batteries and E-waste headquartered in Noida and a manufacturing facility in Roorkee, Uttarakhand. Attero Recycling Private Limited is amongst a handful of elite organizations globally, with the capability to extract pure metals like Lithium, Cobalt, Titanium, Nickle, Manganese, Graphite, Gold, Copper, Palladium, etc from end-of-life electronics and Lithium-ion batteries.

The company is now in process of global expansion and setting up operations in India, Europe, and North America. Given the pace at which the company wants to grow, it expects employees to go beyond their defined roles to accomplish results, cooperate and collaborate with other team members, and are willing to apply innovation, and new ideas and take calculated risks like an entrepreneur.

Position: Data Analyst

Location: Noida

Experience: 3-5 years of data analysis experience in a product-based company

Job Summary:

As a Data Analyst, you will play a pivotal role in analyzing data from various departments. Your work will involve collecting, analyzing, and interpreting data to optimize processes, inform decision-making, and drive the profitability of our operations.

Key Responsibilities:

• Data Collection and Validation

Gather and meticulously process data from diverse sources, ensuring its quality and accuracy.

• Data Integration

Combine data from disparate sources to construct a comprehensive dataset for in-depth analysis.

• Data Analysis

Scrutinize extensive datasets to uncover trends, patterns, and valuable insights. Employ statistical analysis and data mining techniques to extract meaningful information.

• Market Analysis

Examine purchase and sales data to detect trends, pricing trends, and market opportunities.

• Quantitative Assessment

Conduct quantitative analyses to evaluate profitability, identify cost-saving measures, and forecast demand.

• Decision Support

Provide critical support to various departments, particularly in feedstock sourcing and metal sales, to facilitate well-informed decision-making.

• Inventory Management

Monitor and oversee inventory levels, ensuring precision and timely reporting.

• Inventory Optimization

Develop strategies to enhance inventory turnover and minimize wastage.

• Pricing Strategy

Collaborate with sourcing and sales teams to formulate and refine pricing strategies based on thorough market analysis and competitor benchmarking.

• Sales Process Enhancement

Identify opportunities for improving the sales process, including customer segmentation and targeting.

• Campaign Evaluation

Assess the effectiveness of sales campaigns and initiatives.

• Data Visualization

Generate visual reports, charts, and dashboards to effectively communicate data-driven insights to management and stakeholders.

• Data Governance

Ensure data accuracy, consistency, and adherence to data governance policies.

• Data Validation

Implement data validation and cleansing processes as necessary.

• Reporting

Prepare routine reports and ad-hoc analyses to support decision-making processes throughout the organization.

Qualifications:

• Bachelor's degree in a relevant field (e.g., Data Science, Computer Science, B.tech is a must. A Master's degree is a plus.
• Strong analytical and quantitative skills, with proficiency in data analysis tools such as Python, Excel, SQL, and data visualization tools.
• Excellent problem-solving skills and attention to detail.
• Experience in the metals industry is a plus.
• Familiarity with inventory management principles.
• Excellent communication and presentation skills.
• Attention to detail and the ability to work independently.
• Knowledge of data governance and privacy regulations (e.g., GDPR) is beneficial.

Benefits:

• Competitive salary and comprehensive benefits package.
• Opportunities for professional development and advancement within the company.
• Collaborative and inclusive work environment that values diversity and innovation.

About noon

noon, the region's leading consumer commerce platform. On December 12th, 2017, noon launched its consumer platform in Saudi Arabia and the UAE, expanding to Egypt in February 2019. The noon ecosystem of services now includes marketplaces for food delivery, quick-commerce, fintech, and fashion. noon is a work in progress; we're six years in, but only 5% done.

noon's mission: Ring every doorbell, everyday.

What you'll do:

Team noon has some of the fastest, smartest, and hardest-working people we've encountered.

With a young, aggressive, and talented team, we're driving major missions forward. We're looking

for people who have a passion for data and a knack for turning complex information into valuable

insights.

• Data Extraction & Analysis: Use SQL and Big Query to extract and manipulate large datasets from various sources to uncover trends, insights, and opportunities.
• Data Reporting: Develop and maintain reports and dashboards using Excel and other reporting tools to monitor key performance indicators (KPIs) and business metrics.
• Google Sheet Automations & Macros : Familiar with Google Looker studio reports.
• Business Insights: Collaborate with cross-functional teams, including operations, marketing, tech and finance teams, to translate data into actionable insights and recommendations for optimizing business performance.
• Data Quality: Ensure data accuracy, integrity, and consistency by performing regular audits and troubleshooting issues as they arise.
• Forecasting &; Modeling: Utilize data analytics to forecast business trends, demand patterns, and other operational metrics, especially in the e-commerce or logistics sector.
• Process Optimization: Identify and suggest improvements for operational processes based on data- driven insights.
• Stakeholder Communication: Present findings and insights to both technical and non-technical stakeholders in a clear and concise manner.

What you'll need?

• Prior experience for at least 1 year in the e-commerce or logistics sector is highly desirable.
• Bachelor's degree in Data Science/ Statistics/ Economics/Computer Science, or a related field is preferred.
• Advanced proficiency in SQL for querying and analyzing data.
• Experience in working with Big Query for large-scale data storage and analytics.
• Strong command of Excel, including pivot tables, VLOOKUP, macros and data visualization.
• Familiarity with visualization tools such as Tableau, Power BI, or Google Data Studio is a plus.
• Excellent analytical and problem-solving skills with a keen eye for detail.
• Ability to effectively communicate complex data findings to both technical and non-technical stakeholders.

Who will excel?

• We're looking for people with high standards, who understand that hard work matters.
• You need to be relentlessly resourceful and operate with a deep bias for action.
• We need people with the courage to be fiercely original.
• noon is not for everyone; readiness to adapt, pivot, and learn is essential.

House of Shipping provides business consultancy and advisory services for Shipping & Logistics companies. House of Shipping's commitment to their customers begins with developing an understanding of their business fundamentals.

Currently House of Shipping is recruiting for a Data Analyst to join our team.

Job purpose

We are hiring a Data Analyst to join our GSC/Enterprise Analytics team. You will work alongside other business analysts and report directly to the Manager - BI and Reporting. Your main tasks will include performing detailed requirements analysis and developing weekly and monthly management dashboards for multiple business units. To succeed in this role, you should have natural analytical as well as conceptual ways of thinking and be able to interact and explain difficult metric measurement concepts to the business/non-technical users.

• Gathering business requirements and designing data models to convert raw data into meaningful insights.
• Identify KPIs with clear objectives and monitor them consistently through dashboards and visually interactive reports created using Power BI or other BI technologies.
• Develop qualitative and quantitative KPIs and metrics to track performance and provide actionable insights.
• Evaluating business processes, gathering requirements, uncovering areas for improvement, and developing and implementing solutions.
• Performing requirements analysis and effectively communicate your insights and plans to cross-functional teams and management.
• Gathering critical information from meetings with various stakeholders and producing useful reports and ensuring solutions meet business needs and requirements.
• Monitoring deliverables, setting priorities, and ensuring timely completion of projects.
• Responsible for Power BI Administration, Solutions, Design and Implementation, Migration, DevOps, Security solution end to end services.
• Keeping current on the industry's best practices, latest processes, and IT advancements for automating and modernizing systems.

Background and experience

• Bachelor's degree in Analytics, Computer Science, or Data Science; Mathematics or in a related field and 5+ years of industry experience in data analysis.
• Previous experience in transportation, warehousing, or a related industry is a bonus but not a must.

Competencies and skills

• Experience in Azure Cloud Solutions, Big data technology stack implementation, supporting cloud services.
• In-depth understanding of on-prem and cloud database management systems, and ETL and ELT frameworks.
• Strong Power BI development, Data modeling, Calculations, Conversions and Scheduling skills are mandatory.
• Familiarity with BI technologies, advanced Excel, and Office 365 technology stack

Bachelor's degree (BBA, BCA, BE, B-Tech)

SQL experience required/ P&C Insurance exp required.

MBA, Economics/Econometrics MA, MBE (DU), & Similar Masters desirable

Insurance Qualifications, viz. FII, CPCU, CII, ARM - highly preferred

Responsible for collecting all in- scope Business requirements in an insurance process

Elicit, analyze, specify, validate, and verify the logic breakdown for "To Be" State of Business Solution

Ability to perform detailed analysis of existing systems/processes to ensure all aspects of the Business Solution requirements are understood & mapped

Able to prioritize requirements and negotiate on MVP on behalf of the technical team

Capable of managing all non- technical aspects of the new requirements

Able to map and formalize business requirements, ready for two-way communication between

Business and technical channels to normalize a Workable solution "

Experience in capturing details and documenting PRD, BRD, FSD details for creating the Solution Story overview

Capable of working with the Business overview to create User Stories and testing scenarios

Able to create a data mapping document between source and target systems

Experience in Systems Gap Analysis & Wireframing of Solution experience

We're Hiring: Data Analyst (SaaS - Manufacturing Domain)

Join our innovative SaaS product team as a Data Analyst, where you'll turn manufacturing data into actionable insights. You'll work on machine learning models, statistical analysis, and collaborate with cross-functional teams to drive smarter business decisions.

What You'll Do:

Analyze large datasets from the manufacturing sector

Build ML models and optimization solutions

Drive product enhancements through data-driven strategies

Present insights clearly to both tech and non-tech stakeholders

What We're Looking For:

Degree in Data Science, Engineering, or related field

Strong in Python, SQL, ML libraries (Pandas, scikit-learn, TensorFlow)

Solid background in math/stats (Linear Algebra, Calculus, etc.)

Great communication & problem-solving skills

️ Experience with optimization techniques is a plus

Ready to solve real-world data challenges? Apply now!

Overview:

Join our technology team as a Data Analyst & Product Support Intern to streamline data operations. You'll work on data extraction, cleaning, and dashboard/reporting support to enable smarter product decisions.

Key Responsibilities:

• Pull, clean, and organize product data from internal systems
• Support dashboard and report readiness
• Coordinate with engineering/BI teams to resolve data issues
• Assist product managers with data analysis and documentation

Preferred Background:

• B.Tech/B.Sc in Computer Science, Data Science, or related field
• Proficient in Python, SQL, Redshift, Google Sheets, App Script, BigQuery, Tableau

Skills:

• Strong analytical mindset and attention to detail
• Comfortable working with large datasets
• Organized and eager to learn product operations

Company: Haris & Co Academy

Location: Calicut, Kerala

Key Responsibilities:

• Mentorship: Provide one-on-one and group mentorship to students, helping them

understand core data concepts.

• Curriculum Delivery: Deliver sessions on Excel, SQL, Python for Data Analysis, Tableau, and

Power BI. Facilitate hands-on exercises and real-time case studies to reinforce learning.

• Industry Insights: Share practical use cases, industry trends, and tools used in modern data

analytics roles.

• Skills Development:

Train students in data collection, cleaning, analysis, visualization, and dashboard

creation.

Strengthen skills in storytelling with data and data-driven decision-making.

• Project Review: Evaluate student projects and dashboards for clarity, accuracy, and

presentation standards.

• Career Support: Guide students in portfolio creation, LinkedIn optimization, and interview

preparation. Provide insights into hiring trends and job roles in data analytics.

• Operational Support: Support academic and office-related tasks as needed to ensure

smooth operations.

Qualifications:

Technical Skills:

• Proficient in Microsoft Excel, SQL, Python (Pandas, NumPy, Matplotlib, Seaborn),

Power BI, and Tableau. Prefer Knowledge in Machine Learning Libraries.

• Solid understanding of data analytics workflows, statistics, and data storytelling.

Communication & Mentorship:

• Strong communication and interpersonal skills.
• Passion for mentoring and teaching aspiring data professionals.

Preferred:

• Familiarity with Jupyter Notebooks, Git/GitHub.
• Exposure to basic machine learning concepts is a plus.
• Prior teaching, training, or mentoring experience in an academic or bootcamp

environment.

JOB DESCRIPTION:

Position: SQL Writer

Department: Supply Chain

Requirement

• BS/MS degree in Computer Science, Engineering, or related field
• Deep knowledge and experience with SQL, database design/structures, ELT design patterns, and data structures
• 7+ years' experience designing and developing solutions for data systems, services, and platforms including writing comprehensive queries, and a deep understanding of database structure and table relationships
• Experience in Data Profiling and Data Analysis to investigate and validate data accuracy
• Extensive Knowledge on SAP Functional specific to the Data structure architecture as well as knowledge in SAP BODS ETL and Data Quality Design, development, and delivery
• Ability to perform data validation, cleansing and transformation
• Experience with Microsoft Power BI and Power Query Data Modeling, including DAX
• Deep knowledge of Microsoft solutions including Power apps, SharePoint and Power automate
• Strong user focus, strong interpersonal skills, results-orientation, and business analysis skills.

Purpose of Position:

• Develop solutions to create complex data management, and analysis including dashboards, ad-hoc reports, and extracts using programming languages and tools such as SQL, Excel, Power BI, Power apps, etc.
• Provide and automate the report and delivery of daily, weekly, monthly information for the different areas of the company and senior management team.
• It includes developing additional solutions along with maintaining and modifying existing reports.
• Work on projects that are designed to increase and improve access to information and reduce errors.

Job Duties

• Support users by developing solutions that include reports, dashboards, data modeling, and processes to continually monitor data quality and integrity across the company.
• Provide the information that allows leaders to make business decisions based on information tools and data access.
• Develop solutions to create complex data management and analysis that ensure the complete and correct use of ERP data information
• Maintain and manage data generated in both ERP and CRM.
• Work with other staff members to write and optimize data management and generate SQL statements as needed.
• Troubleshoot common database problems

Working Conditions:

• Requires steel-toed safety shoes, eye protection and hair covering required in all production and maintenance areas
• Office environment Limited lifting Limited nose exposure when required to be on the plant four

We are seeking a highly skilled and motivated Data Analyst to join the CEOs and CFOs Office. In this role, you will work directly with the Company's Management Team, providing in-depth data insights and analyses to facilitate informed decision-making.

Critical Tasks

Work closely with the KMPs to gather, process, and analyze data across various domains.

Develop and maintain data models, reports, and dashboards to support the business's analytical needs.

Identify trends, patterns, and actionable insights in data to help drive critical decisions.

Present clear and concise analysis, leaving decision-making and strategy development to the founder.

Ensure efficient handling and visualization of large datasets to provide timely insights.

Stay updated on the latest tools, techniques, and trends in data analysis.

Educational Background and Work Experience

Experience: 3-6 years of proven experience in data analysis roles, preferably in B2B or B2C sectors.

Technical Skills:

Proficient in data analysis tools like SQL, Python, R, or similar.

Experience with BI tools such as Tableau, Power BI, or Looker.

Strong knowledge of Excel, including advanced formulas and data manipulation.

Analytical Skills: Ability to derive meaningful insights from complex datasets.

Communication Skills: Strong ability to present data in a clear and concise manner.

Educational Background: A degree in Data Science, Statistics, Mathematics, Economics, or a related field.

Competencies

A self-starter who thrives in a fast-paced environment.

Someone with a passion for numbers and a meticulous attention to detail.

Prior experience as Founder or Co-Founder is a must.

Preference for candidates not overly inclined towards strategic roles, with a focus on delivering top-notch data insights.

Working relationships - Stakeholders

Internal: Sales & Marketing, Finance, Plant & Operations

External:

Consultants, Knowledge Partners and Business Partners

Company: JSK Technologies

Location: Onsite - Vijayawada, India

Employment Type: Full-Time

CTC: 2.4 LPA

Experience Level: Entry-level / Fresher Friendly

Agreement: 1-Year Mandatory

JSK Technologies is looking for sharp, detail-oriented individuals to join us as AI Data Analysts. In this non-coding role, you'll work on cutting-edge AI evaluation projects, providing insights to improve machine-generated responses. Ideal for candidates with excellent English communication skills who want to build a career in the AI space without programming.

• Analyze AI-generated responses across various topics and domains.
• Identify errors, inconsistencies, or gaps in content.
• Provide clear, structured feedback to improve AI model accuracy.
• Document findings and insights with strong written articulation.
• Collaborate with QA and data teams to ensure quality benchmarks are met.

• Excellent written and spoken English skills (mandatory).
• Strong analytical skills and attention to detail.
• No coding required - this is a non-technical evaluation role.
• Must be willing to work onsite at our Vijayawada office (remote work is not available).
• Must be open to signing a 1-year service agreement.

• CTC: 2.4 LPA
• Real-world exposure to the AI and NLP ecosystem.
• Learn how AI models are evaluated and improved.
• Growth potential in AI, Data, or Quality domains.

• Onsite interviews at our Vijayawada office between
• 12th June - 30th June, from 11:00 AM to 5:00 PM.

To confirm your preferred interview date, call:

️ To apply, email your acknowledgment to:

Subject Line: Acknowledgement

At Airtel, we are reimagining how over 400 million customers across India connect, transact, and engage-whether they are large enterprises, small businesses, or everyday consumers. With 2 trillion data events processed daily and over 100 petabytes of data infrastructure, we are evolving to building AI-native capabilities that deliver intelligence at scale.

As the digital and data landscape evolves rapidly, we are looking for a Principal Data Analyst who will help lead this mission. This is a high-impact leadership role focused on defining strategy, shaping business decisions with AI-first analytics, and influencing executive direction across both Consumer and B2B verticals.

About the Role

You will lead the definition, development, and delivery of AI-powered analytics solutions across critical business domains-ranging from digital customer journeys and revenue growth to network performance, sales operations, collections, and customer experience. You will drive impact by breaking down complex, ambiguous business problems and turning them into structured, data-driven strategies. You'll work across highly matrixed functions and with senior leaders to embed AI into the fabric of decision-making at Airtel.

This role requires a strong blend of technical depth, business understanding, stakeholder influence, and leadership maturity.

Key Responsibilities

Shape Analytics and AI Strategy

• Define the vision and roadmap for AI-driven analytics across Airtel's Consumer and B2B businesses.
• Design frameworks to measure product, sales, marketing, finance, and customer experience performance.
• Champion the use of predictive analytics, Generative AI, and large language models to automate and personalize insight delivery.

Influence Senior Leadership and Drive Clarity

• Engage directly with Airtel's executive and CXO leadership to present analytics insights and influence decisions.
• Translate complex AI and machine learning outputs into clear, compelling business narratives.
• Proactively bring structure and clarity to high-stakes, ambiguous problem spaces through data.

Build and Scale Analytics Execution

• Partner with data engineering teams to build scalable solutions and data pipelines.
• Drive experimentation with predictive modeling, anomaly detection, forecasting, and Generative AI.
• Ensure analytics readiness from the start of every product, marketing, or operations initiative.

Lead Cross-Functional Collaboration in a Matrixed Organization

• Work across product, sales, network, finance, and customer experience teams to prioritize and execute data initiatives.
• Bring diverse teams together to align on metrics, methodologies, and insights.
• Evangelize a culture of decision-making rooted in data and AI.

Mentor, Grow, and Uplift Analytics Talent

• Lead, coach, and inspire a team of high-performing analysts.
• Build capabilities in emerging areas like LLM-driven analytics, automated reporting, and responsible AI.
• Foster a high-accountability culture with strong analytical rigor and storytelling excellence.

Qualifications

Experience

• 10+ years of experience in analytics, with at least 4 years in a leadership role managing teams.
• Demonstrated success in scaling analytics in complex, fast-paced organizations.

Business Acumen

• Deep understanding of both B2B and Consumer business models, including sales, product, digital channels, and customer lifecycle metrics.
• Familiarity with telecom KPIs like ARPU, churn, usage segmentation, NPS, collections, and network performance.

AI & Technical Skills

• Hands-on proficiency in Python, PySpark, Scikit-learn, TensorFlow, or similar tools.
• Experience with machine learning use cases like forecasting, churn prediction, personalization, and anomaly detection.
• Exposure to cloud-native analytics platforms (e.g., Google Cloud, AWS, Azure ML) and LLMs such as GPT, Claude, Gemini.
• Strong working knowledge of data visualization tools like Tableau, Power BI, or Looker.

Leadership & Communication

• Proven ability to work across matrixed teams and influence senior stakeholders through data.
• Strong problem-solving and communication skills-able to drive clarity from chaos.
• Experience mentoring talent, setting analytical standards, and building team culture.

Why Airtel

• Opportunity to define how AI and data shape the future of one of India's largest digital ecosystems.
• High-impact role engaging directly with senior leadership and influencing cross-company strategy.
• Work on meaningful, large-scale problems that span both consumer and enterprise ecosystems.
• Be part of a fast-moving, outcome-driven, and highly collaborative team.

Company Description:

Adtitude Digital is a Technology, Data, and Digital Marketing Services Provider. Our core mission is to empower businesses and brands with data-driven software solutions and comprehensive digital marketing support.

Role Description:

This is a part-time freelance remote role for a Data Analyst. The Data Analyst will collaborate with cross-functional teams to extract, analyze, and visualize data using Power BI and other tools. The role involves building insightful dashboards, performing data modeling, and generating meaningful business insights from complex datasets.

Job Description:

• Data Analysis
• SQL Querying
• Power BI Dashboards & Reporting
• DAX Calculations
• Data Modeling
• Power Query
• Report Design & UI/UX Visualization

Job Type: Part-time / Freelance

Compensation: 800 - 1000 INR per hour (based on experience)

Job Timing: Night Shift IST

Working Hours: Flexible schedule between 7:30 PM - 12:30 AM IST

Qualifications:

• Strong analytical skills with hands-on experience in Power BI, DAX, Power Query, and SQL
• Proficiency in building dashboards and data models
• Familiarity with other visualization tools like Tableau or Excel
• Solid understanding of data warehousing and ETL concepts
• Ability to interpret complex datasets and provide actionable insights
• Strong communication skills to present findings to non-technical stakeholders
• Prior freelance experience in data analysis or business intelligence is a plus

Title: Data Analyst

About RevX:

Made for Growth, Built for App Marketers.

RevX helps app businesses acquire and reengage users via programmatic to retain, monetize, and accelerate revenue. We're all about taking your app businesses to a new growth level. We rely on data science, innovative technology, and AI, and a skilled team, to create and deliver seamless ad experiences to delight your app users. That's why RevX is the ideal partner for app marketers that demand trustworthy insights, a hands-on team, and a commitment to growth. We help you build sound mobile strategies, combining programmatic UA, app re engagement, and performance branding to drive real and verifiable results so you can scale your business: with real users, high retention, and incremental revenue.

Position description:

We are looking for a versatile and forward-thinking Data Analyst who can bridge traditional data analysis with modern Generative AI (GenAI) capabilities to build internal analytics tools and interfaces. The ideal candidate is comfortable with SQL, can work with platforms like n8n, LookML (Looker), ChatGPT, Gemini, etc., and is eager to experiment and innovate using GenAI-driven workflows and insights delivery.

Required Experience:

• 3+ years of experience in data analysis or a related field.
• Strong proficiency in SQL with the ability to work across large datasets.
• Hands-on experience building data tools/workflows using any of the following: n8n, Looker/LookML, ChatGPT API, Gemini, LangChain, or similar.
• Familiarity with GenAI concepts, LLMs, prompt engineering, and their practical application in data querying and summarization.
• Excellent problem-solving skills and a mindset to automate and optimize wherever possible.
• Strong communication skills with the ability to translate complex data into actionable insights for non-technical stakeholders.

Major Responsibilities:

• Design, build, and maintain analytics workflows/tools leveraging GenAI platforms (e.g., ChatGPT, Gemini etc.) and automation tools (e.g., n8n, Looker etc.).
• Collaborate with product, marketing, and engineering teams to identify and deliver data-driven insights.
• Use SQL to query data from data warehouses (BigQuery, Redshift, Snowflake, etc.) and transform it for analysis or reporting.
• Build automated reporting and insight generation systems using visual dashboards and GenAI-based interfaces.
• Evaluate GenAI tools and APIs for applicability in data analytics workflows.
• Explore use cases where GenAI can assist in natural language querying, automated summarization, and explanatory analytics.
• Work closely with business teams to enable self-service analytics via intuitive GenAI-powered interfaces.

Nice to Have:

• Prior experience in AdTech (ad operations, performance marketing, attribution, audience insights, etc.).
• Experience with Python, Jupyter Notebooks, or scripting for data manipulation.
• Familiarity with cloud platforms like Google Cloud Platform (GCP) or AWS.
• Knowledge of data visualization tools like Tableau, Power BI, or Looker.

Education:

• Bachelor of Engineering or similar degree from any reputed University.

For more information visit

Tasks and Responsibilities:

• Design and maintain high-quality technical solutions for Risk and Marketing data while collaborating with stakeholders to address emerging business challenges.
• Identify and resolve data/process issues, anticipate trends and highlight the shortcomings in the data processing steps
• Develop SAS codes using advanced SAS to execute marketing and risk fraud strategies
• Develop SQL scripts to be executed during production deployments on SQL server
• Develop Python notebooks for User Acceptance Testing and System Integration Testing
• Day to day task include creating python notebooks for data validations, data analysis and data visualization, creating SAS jobs using advanced SAS concepts, creating automated SQL scripts
• Create python scripts to automate manual data processing tasks, combine multiple code snippets into single python notebooks

Required Skills and Qualifications:

• 3-5 years of experience as SAS, SQL and Python developer with strong hands on experience
• Good hands-on experience in SAS programming. SAS Certified associates preferred.
• In-depth knowledge of Python software development, including frameworks, tools, and systems (NumPy, Pandas, SciPy, PyTorch, etc.)
• Hands on experience in writing SQL queries to fetch data from Microsoft SQL Server
• Excellent analytical and problem-solving skills
• Excellent communication skills and client management skills
• Good to have experience in base SAS/Intermediate SAS

Join our team as Sr. Data Analyst for a fast-growing software-driven art sales company

Company Overview:

theprintspace is a software-driven fine art printing company dedicated to providing high-quality printing and dropshipping services globally for artists, photographers, and creatives. We pride ourselves on our commitment to excellence, innovation, and customer satisfaction. Our state-of-the-art facilities, proprietary software and passionate team ensure our industry leading position.

Position Overview:

We are seeking a smart, ambitious junior-to-middleweight Operations & Strategy Analyst to join our team. As an Operations & Strategy Analyst, you will play a pivotal role in driving the company's operational efficiency and strategic initiatives. You will be responsible for software testing, analysing data, optimising processes, and supporting the implementation of strategic projects through the lens of customer success. Your insights and recommendations will directly contribute to the company's growth, innovation, and overall performance.

Skills required:

• The ability to tell stories through data and to understand real-world events through data analysis
• Understanding of start-up culture and KPI monitoring
• Understanding of customer-centric software development
• Process-driven thinking
• Ability to analyse data to understand how to improve performance and develop new processes
• Ability to understand how to take offline processes and enshrine them in software driven processes
• Software testing
• Customer interfacing skills
• Good communication skills
• Attention to detail
• Founder's Office experience will be a valuable asset

Key Responsibilities:

Software Feedback and Testing:

• Department go-between: Serve as the primary communication link between customer service, production teams, and software developers. Facilitate clear and effective information exchange to address software-related issues.
• Collect and analyse feedback: Gather feedback from various departments and customers regarding software functionality and performance. Conduct root cause analyses to identify underlying issues and areas for improvement.
• Create detailed software tickets: Translate business needs and feedback into detailed software tickets that clearly outline the issues, root causes, and proposed solutions. Prioritise tickets based on impact and urgency.
• Coordinate software testing: Plan and oversee regular software testing cycles. Ensure new features and bug fixes are thoroughly tested before deployment. Collaborate with developers to address any issues identified during testing.

Branch Performance and Financial Analysis/Modeling :

• Monitor and analyse key performance indicators (KPIs): Track metrics such as production output, turnaround times, error rates, and customer satisfaction scores across our production facilities in the UK, Germany, and the USA. Manage dynamic dashboards that provide real-time tracking of performance metrics. Ensure these dashboards are user-friendly and accessible to relevant stakeholders.
• Provide detailed reports on branch profitability: Compile comprehensive reports on financial performance, including metrics like payroll as a percentage of revenue, adherence to advertised service level agreements (SLAs), error rates, redos, and refunds. Present these reports to senior management with actionable insights.
• Identify trends and areas for improvement: Conduct in-depth analyses to detect patterns and trends that impact operational efficiency and profitability. Propose data-driven recommendations to enhance performance.
• Work on our financial model to optimise our P&L and improve the accuracy of our projections: Develop and refine financial models to forecast revenue, expenses, and profitability. Conduct variance analysis to compare actual performance against projections and provide insights to optimise the profit and loss statement, enhancing financial decision-making.
• Competitor analysis to help us run price sensitivity tests: Conduct comprehensive analysis of competitor pricing strategies and market positioning, using the findings to design and execute price sensitivity tests. Assess the impact of different pricing scenarios on sales and profitability, recommending adjustments to improve competitive advantage.
• Other miscellaneous analysis and modelling: Perform ad-hoc financial analysis and modelling to support business initiatives, using quantitative methods to evaluate the financial implications of potential projects or investments. Provide clear, data-driven recommendations to senior management based on the analysis to inform strategic decisions.

Process Improvement and Innovation :

• Evaluate and improve processes: Continuously assess production and operational processes to identify inefficiencies and areas for improvement. Implement best practices and lean methodologies to enhance productivity and reduce costs.
• Drive cross-functional collaboration: Work with cross-functional teams, including production, procurement, customer service, and IT, to drive innovation and implement process improvements. Foster a culture of continuous improvement.
• Stay updated on industry trends: Monitor industry developments and emerging technologies. Identify and evaluate new tools, technologies, and methodologies that can enhance operational efficiency and competitiveness.
• Implement operational enhancements: Develop and execute plans to implement new technologies and process improvements. Measure the impact of these enhancements and adjust strategies as needed to achieve desired outcomes.
• Become an expert in using Coda (our no-code database) and leverage it to track and analyse the vast data trove we possess: Gain in-depth knowledge of Coda's functionalities and continuously update skills through training and practice to fully leverage the tool's features. Serve as the go-to resource within the agency for any Coda-related queries or issues, ensuring efficient use of the platform. Utilise Coda to organise, analyse, and interpret large datasets effectively, creating interactive dashboards and reports to visualise data trends and insights. Collaborate with other teams to ensure that data analysis supports overall business objectives and decision-making, enhancing the agency's data-driven strategies.

Create Reports for the Agency:

• Create print drop reports: This involves providing actionable insights on the success of each print drop and recommending strategies for future drops. Ensure these reports are accurate and delivered on schedule to inform strategic decision-making.
• Create email capture campaign reports: Track and analyse the performance of email capture campaigns, measuring metrics like cut-through rate, conversion rate etc. Use this data to determine the effectiveness of different strategies, identify areas for improvement, and present findings with actionable recommendations to enhance email capture efforts.
• Analyse these reports and identify trends to draw meaningful actionable insights: Review and interpret data from various reports to identify significant trends and patterns. Develop actionable insights based on data analysis to inform strategic decisions and collaborate with cross-functional teams to implement changes that improve overall agency performance.
• Take full ownership of the reports and ensure they're prepared accurately and in a timely manner: Ensure all reports are completed with high attention to detail and data integrity, managing the reporting schedule to guarantee timely delivery. Maintain thorough documentation of methodologies and data sources used in report preparation to uphold the accuracy and reliability of the reports.

TIME Logging and Analysis:

• Log company-wide time-tracking data using the TIME app: Oversee the logging of time-tracking data for all employees using the TIME app, ensuring accurate recording of hours and tasks. Monitor the system for any inconsistencies or errors to ensure reliable data collection across the company.
• Use the TIME data to draw meaningful insights and identify areas which require further optimization: Analyse time-tracking data to identify productivity patterns and workflow efficiencies. Highlight areas where time is underutilised or overextended, proposing strategies to optimise time management and enhance overall productivity.
• Use the TIME data to apportion salaries - this is crucial for our P&L: Utilise time-tracking data to accurately allocate labour costs to various projects and departments, ensuring salary apportionment reflects actual time spent on tasks. This supports more accurate financial reporting, contributing to a clearer P&L statement.

Accounting Data Analyst - SQL & Business Intelligence (Telecom Domain)_Full-Time_Bangalore/Pune/Navi Mumbai/Noida/Hyderabad/Chennai

Job Title: Accounting Data Analyst - SQL & Business Intelligence (Telecom Domain)

Job Type: Full-Time

Location: Bangalore/Pune/Navi Mumbai/Noida/Hyderabad/Chennai

Experience: 6-9 Years

Job Description:

• Candidate must have Accounting background

• Candidate must have working knowledge of SQL

• Strong analytical background

• Demonstrated ability to transform business requirements to specific analytical reports

• Excellent written and verbal communication skills for varied audiences on engineering subject matter

• Understand Business requirements as well as the accounting impact.

• Perform impact assessment of enhancements (including but not limited to IFRS 15 standards)

• Good to have Production support experience

• Good to have experience as AAH/Fynpase (Aptitude technology) consultant in multiple implementation programs both from functional design and technical build perspective.

• Good to have experience in Telecom domain/industry

• Prior experience with ETL/DW concepts preferable

• Create and review functional documents, mappings and validations for transactional data.

• Implement configuration of Business Rules in the system

• An active involvement of Onsite and Offshore team meetings and status meetings

• Must understand the Agile methodology and have worked on a Scrum team with an experience in using Agile JIRA tools

About the Role: Data Analyst (Business facing) with 3+ years of experience.

Responsibilities:

• Reporting & Dashboard Ownership: Build and maintain self-service dashboards in DOMO AND SIGMA AND GCP Looker Studio, ensure report accuracy, freshness and usability.
• Data Aggregation/Cleaning: Using SQL/Python to clean and produce analytics ready data, work closely with the business team to validate data.
• Stakeholder Engagement: Partner with business teams on KPI definitions and dashboard builds, translate business questions into analytical workflows.
• Core Responsibility: Turn raw data into actionable insights by building reports, exploring trends and partnering closely with the business, TMS to drive decisions.
• Data QA & Feedback: Act as the first line of defense for data issues (spot check anomalies) collaborate with the Analytics Engineer to define pipelines and data models. Provide feedback on field definition, naming and aggregation logic.
• Business Inquiries Support + Dashboard Training: Support end-users to help address their questions and provide training as needed.
• Strong Communication: Can bridge the gap between engineers and business team.
• Business Curiosity: Not just take the existing reports as it is, asking business the right question to outline a BI strategy and roadmap forward.

Roles and Responsibilities

Architect and incorporate an effective Data framework enabling end to end Data Solution.

Understand business needs, use cases and drivers for insights and translate them into detailed technical specifications.

Create epics, features and user stories with clear acceptance criteria for execution and delivery by the data engineering team.

Create scalable and robust data solution designs that incorporate governance, security and compliance aspects.

Develop and maintain logical and physical data models and work closely with data engineers, data analysts and data testers for successful implementation of them.

Analyze, assess and design data integration strategies across various sources and platforms.

Create project plans and timelines while monitoring and mitigating risks and controlling progress of the project.

Conduct daily scrum with the team with a clear focus on meeting sprint goals and timely resolution of impediments.

Act as a liaison between technical teams and business stakeholders and ensure.

Guide and mentor the team for best practices on Data solutions and delivery frameworks.

Actively work, facilitate and support the stakeholders/ clients to complete User Acceptance Testing ensure there is strong adoption of the data products after the launch.

Defining and measuring KPI's/KRA for feature(s) and ensuring the Data roadmap is verified through measurable outcomes

Prerequisites

5 to 8 years of professional, hands - on experience building end to end Data Solution on Cloud based Data Platforms including 2+ years working in a Data Architect role.

Proven hands - on experience in building pipelines for Data Lakes, Data Lake Houses, Data Warehouses and Data Visualization solutions

Sound understanding of modern Data technologies like Databricks, Snowflake, Data Mesh and Data Fabric.

Experience in managing Data Life Cycle in a fast-paced, Agile / Scrum environment.

Excellent spoken and written communication, receptive listening skills, and ability to convey complex ideas in a clear, concise fashion to technical and non-technical audiences

Ability to collaborate and work effectively with cross functional teams, project stakeholders and end users for quality deliverables withing stipulated timelines

Ability to manage, coach and mentor a team of Data Engineers, Data Testers and Data Analysts.

Strong process driver with expertise in Agile/Scrum framework on tools like Azure DevOps, Jira or Confluence

Exposure to Machine Learning, Gen AI and modern AI based solutions.

Experience

Technical Lead - Data Analytics with 6+ years of overall experience out of which 2+ years is on Data architecture.

Education

Engineering degree from a Tier 1 institute preferred.

At Airtel, we are reimagining how over 400 million customers across India connect, transact, and engage-whether they are large enterprises, small businesses, or everyday consumers. With 2 trillion data events processed daily and over 100 petabytes of data infrastructure, we are evolving to building AI-native capabilities that deliver intelligence at scale.

As the digital and data landscape evolves rapidly, we are looking for a Principal Data Analyst who will help lead this mission. This is a high-impact leadership role focused on defining strategy, shaping business decisions with AI-first analytics, and influencing executive direction across both Consumer and B2B verticals.

About the Role

You will lead the definition, development, and delivery of AI-powered analytics solutions across critical business domains-ranging from digital customer journeys and revenue growth to network performance, sales operations, collections, and customer experience. You will drive impact by breaking down complex, ambiguous business problems and turning them into structured, data-driven strategies. You'll work across highly matrixed functions and with senior leaders to embed AI into the fabric of decision-making at Airtel.

This role requires a strong blend of technical depth, business understanding, stakeholder influence, and leadership maturity.

Key Responsibilities

Shape Analytics and AI Strategy

• Define the vision and roadmap for AI-driven analytics across Airtel's Consumer and B2B businesses.
• Design frameworks to measure product, sales, marketing, finance, and customer experience performance.
• Champion the use of predictive analytics, Generative AI, and large language models to automate and personalize insight delivery.

Influence Senior Leadership and Drive Clarity

• Engage directly with Airtel's executive and CXO leadership to present analytics insights and influence decisions.
• Translate complex AI and machine learning outputs into clear, compelling business narratives.
• Proactively bring structure and clarity to high-stakes, ambiguous problem spaces through data.

Build and Scale Analytics Execution

• Partner with data engineering teams to build scalable solutions and data pipelines.
• Drive experimentation with predictive modeling, anomaly detection, forecasting, and Generative AI.
• Ensure analytics readiness from the start of every product, marketing, or operations initiative.

Lead Cross-Functional Collaboration in a Matrixed Organization

• Work across product, sales, network, finance, and customer experience teams to prioritize and execute data initiatives.
• Bring diverse teams together to align on metrics, methodologies, and insights.
• Evangelize a culture of decision-making rooted in data and AI.

Mentor, Grow, and Uplift Analytics Talent

• Lead, coach, and inspire a team of high-performing analysts.
• Build capabilities in emerging areas like LLM-driven analytics, automated reporting, and responsible AI.
• Foster a high-accountability culture with strong analytical rigor and storytelling excellence.

Qualifications

Experience

• 10+ years of experience in analytics, with at least 4 years in a leadership role managing teams.
• Demonstrated success in scaling analytics in complex, fast-paced organizations.

Business Acumen

• Deep understanding of both B2B and Consumer business models, including sales, product, digital channels, and customer lifecycle metrics.
• Familiarity with telecom KPIs like ARPU, churn, usage segmentation, NPS, collections, and network performance.

AI & Technical Skills

• Hands-on proficiency in Python, PySpark, Scikit-learn, TensorFlow, or similar tools.
• Experience with machine learning use cases like forecasting, churn prediction, personalization, and anomaly detection.
• Exposure to cloud-native analytics platforms (e.g., Google Cloud, AWS, Azure ML) and LLMs such as GPT, Claude, Gemini.
• Strong working knowledge of data visualization tools like Tableau, Power BI, or Looker.

Leadership & Communication

• Proven ability to work across matrixed teams and influence senior stakeholders through data.
• Strong problem-solving and communication skills-able to drive clarity from chaos.
• Experience mentoring talent, setting analytical standards, and building team culture.

Why Airtel

• Opportunity to define how AI and data shape the future of one of India's largest digital ecosystems.
• High-impact role engaging directly with senior leadership and influencing cross-company strategy.
• Work on meaningful, large-scale problems that span both consumer and enterprise ecosystems.
• Be part of a fast-moving, outcome-driven, and highly collaborative team.

At Airtel, we are reimagining how over 400 million customers across India connect, transact, and engage-whether they are large enterprises, small businesses, or everyday consumers. With 2 trillion data events processed daily and over 100 petabytes of data infrastructure, we are evolving to building AI-native capabilities that deliver intelligence at scale.

As the digital and data landscape evolves rapidly, we are looking for a Principal Data Analyst who will help lead this mission. This is a high-impact leadership role focused on defining strategy, shaping business decisions with AI-first analytics, and influencing executive direction across both Consumer and B2B verticals.

About the Role

You will lead the definition, development, and delivery of AI-powered analytics solutions across critical business domains-ranging from digital customer journeys and revenue growth to network performance, sales operations, collections, and customer experience. You will drive impact by breaking down complex, ambiguous business problems and turning them into structured, data-driven strategies. You'll work across highly matrixed functions and with senior leaders to embed AI into the fabric of decision-making at Airtel.

This role requires a strong blend of technical depth, business understanding, stakeholder influence, and leadership maturity.

Key Responsibilities

Shape Analytics and AI Strategy

• Define the vision and roadmap for AI-driven analytics across Airtel's Consumer and B2B businesses.
• Design frameworks to measure product, sales, marketing, finance, and customer experience performance.
• Champion the use of predictive analytics, Generative AI, and large language models to automate and personalize insight delivery.

Influence Senior Leadership and Drive Clarity

• Engage directly with Airtel's executive and CXO leadership to present analytics insights and influence decisions.
• Translate complex AI and machine learning outputs into clear, compelling business narratives.
• Proactively bring structure and clarity to high-stakes, ambiguous problem spaces through data.

Build and Scale Analytics Execution

• Partner with data engineering teams to build scalable solutions and data pipelines.
• Drive experimentation with predictive modeling, anomaly detection, forecasting, and Generative AI.
• Ensure analytics readiness from the start of every product, marketing, or operations initiative.

Lead Cross-Functional Collaboration in a Matrixed Organization

• Work across product, sales, network, finance, and customer experience teams to prioritize and execute data initiatives.
• Bring diverse teams together to align on metrics, methodologies, and insights.
• Evangelize a culture of decision-making rooted in data and AI.

Mentor, Grow, and Uplift Analytics Talent

• Lead, coach, and inspire a team of high-performing analysts.
• Build capabilities in emerging areas like LLM-driven analytics, automated reporting, and responsible AI.
• Foster a high-accountability culture with strong analytical rigor and storytelling excellence.

Qualifications

Experience

• 10+ years of experience in analytics, with at least 4 years in a leadership role managing teams.
• Demonstrated success in scaling analytics in complex, fast-paced organizations.

Business Acumen

• Deep understanding of both B2B and Consumer business models, including sales, product, digital channels, and customer lifecycle metrics.
• Familiarity with telecom KPIs like ARPU, churn, usage segmentation, NPS, collections, and network performance.

AI & Technical Skills

• Hands-on proficiency in Python, PySpark, Scikit-learn, TensorFlow, or similar tools.
• Experience with machine learning use cases like forecasting, churn prediction, personalization, and anomaly detection.
• Exposure to cloud-native analytics platforms (e.g., Google Cloud, AWS, Azure ML) and LLMs such as GPT, Claude, Gemini.
• Strong working knowledge of data visualization tools like Tableau, Power BI, or Looker.

Leadership & Communication

• Proven ability to work across matrixed teams and influence senior stakeholders through data.
• Strong problem-solving and communication skills-able to drive clarity from chaos.
• Experience mentoring talent, setting analytical standards, and building team culture.

Why Airtel

• Opportunity to define how AI and data shape the future of one of India's largest digital ecosystems.
• High-impact role engaging directly with senior leadership and influencing cross-company strategy.
• Work on meaningful, large-scale problems that span both consumer and enterprise ecosystems.
• Be part of a fast-moving, outcome-driven, and highly collaborative team.

The ideal candidate will use their passion for big data and analytics to provide insights to the business covering a range of topics. The main field of Analysis will be the data on and the Energy Industry of the US and Canada.

Timings-9:00 am to 6:00 pm

Direct exposure to working with U.S. and Canadian clients.

Responsibilities

• Understand the day-to-day issues that our business faces, which can be better understood with data
• Coordinate with the team to complete tasks
• Making sure that the tasks are completed on time
• Compile and analyze data related to business issues
• Develop clear visualizations to convey complicated data in a straightforward fashion
• Understand client needs and prepare datasets accordingly
• Suggesting creative ideas to enhance the company's products.
• Interacting with various customers on a daily basis is available to assist the company's clients during business hours and occasionally after hours.
• Checking the Team's work and making corrections so that no error flows through
• Coordinate and report to the manager in the US
• Training junior employees and new hires

Qualifications

• Bachelor's or Master's degree (Statistics or Mathematics or equivalent experience will be given preference)
• Academics- Minimum 75% marks throughout
• Freshers with At least 6 months of Python training are eligible
• Proficiency in MS Excel, Tableau, Power BI
• Knowledge of SQL and Python will be an added advantage

Freshers are preferred.

Only Immediate joiners should apply.

Appnext offers end-to-end discovery solutions covering all the touchpoints users have with their devices. Thanks to Appnext's direct partnerships with top OEM brands and carriers, user engagement is achieved from the moment they personalize their device for the first time and throughout their daily mobile journey.

Appnext 'Timeline', a patented behavioral analytics technology, is uniquely capable of predicting the apps users are likely to need next. This innovative solution means app developers and marketers can seamlessly engage with users directly on their smartphones through personalized, contextual recommendations.

Established in 2012 and now with 12 offices globally, Appnext is the fastest-growing and largest independent mobile discovery platform in emerging markets.

We're looking for a Senior Data Analyst to join our data-driven team at an ad-tech company that thrives on turning complexity into clarity. Our analysts play a critical role in transforming raw, noisy data into accurate, actionable signals that drive real-time decision-making and long-term strategy. You'll work closely with product, engineering, and business teams to uncover insights, shape KPIs, and guide performance optimization.

Responsibilities:

• Analyze large-scale datasets from multiple sources to uncover actionable insights and drive business impact.
• Design, monitor, and maintain key performance indicators (KPIs) across ad delivery, bidding, and monetization systems.
• Partner with product, engineering, and operations teams to define metrics, run deep-dive analyses, and influence strategic decisions.
• Develop and maintain dashboards, automated reports, and data pipelines to ensure data accessibility and accuracy.
• Lead investigative analysis of anomalies or unexpected trends in campaign performance, traffic quality, or platform behavior.

Requirements:

• BA / BSc in Industrial Engineering and Management / Information Systems Engineering / Economics / Statistics / Mathematics / similar background.
• 3+ years of experience in Data Analysis and interpretation (Marketing/ Business/ Product).
• High proficiency in SQL.
• Experience with data visualization of large data sets using BI systems (Qlik Sense, Sisense, Tableau, Looker, etc.).
• Experience working with data warehouse/data lake tools like Athena / Redshift / Snowflake /BigQuery.
• Knowledge of Python - An advantage.
• Experience building ETL processes - An advantage.
• Fluent in English both written and spoken - Must

ABOUT US

Livspace is Asias largest and fastest-growing omnichannel home interiors and renovation platform. Using its proprietary technology, Livspace provides a one-stop renovation solution for homeowners-from design to managed last mile fulfillment for all rooms in a home. The platform has organized a fragmented industry, bringing together designers, brands, manufacturers, and contractors to enable an eCommerce-like trusted, and predictable experience.

The company launched operations in Bengaluru, India in 2015. Since its inception, Livspace has organized a fragmented industry, bringing together a curated community of designers, brands, manufacturers and contractors. This has resulted in an e-commercelike trusted and predictable experience for the homeowners. Livspace boasts of a community of 50000+ satisfied customers and over 2000 interior designers.

The company is already the largest employer of interior designers in the country. Livspace currently serves Singapore, Malaysia, Saudi Arabia as well as 30 metro and non-metro areas in India including - Bengaluru, Chennai, Delhi, Noida, Gurgaon, Mumbai, Thane, Pune, Hyderabad, Kolkata, Ahmedabad, Kochi, Jaipur, Lucknow, Indore, Surat, Coimbatore, Mysore, Mangalore, Vizag, Vijayawada.

Livspace has showcased phenomenal growth since its launch, having delivered over 125,000 rooms and selling over 7.5 million SKUs through its platform. The company also delivered 50,000 homes across all our serviceable locations.

The founders - Anuj Srivastava and Ramakant Sharma are former Google and Myntra executives respectively, who are seasoned entrepreneurs and successful angel investors. Livspaces leadership team combines world-class talent and entrepreneurial experience gathered at some of the best companies in the world.

Livspace has raised around USD 450 million in capital from some of the top global investors including KKR, Ingka Group Investments (part of largest IKEA retailer Ingka Group), TPG Growth, Goldman Sachs, Kharis Capital, Venturi Partners, FFP (Peugeot Groups Holding Company), EDBI, Bessemer Venture Partners, Jungle Ventures, Helion Ventures and UC-RNT. For more information, please visit:

About the role:

We're looking for a skilled professional who will overlook the marketing technology stack and work closely with marketing, sales, product and data teams to plan and deliver ideas that drive customer acquisition, solution adoption and customer retention. This role combines strategic campaign planning with hands-on execution, focusing on multi-channel marketing automation, lead generation and lead qualification.

Key Responsibilities:

• Support delivery of the Data Quality Management and Data Architecture initiatives.

• Provide business analysis, data discovery, data architecture expertise to enable delivery of the Business Data Architecture

• Provide the Logical Data Model, Data Definitions, Data Standards and Data Quality rules for business-critical client data.

Lead the analysis of the data discovery work, identify enhancements to improve the quality of the data, and produce the data lineage artifacts required by data architecture.

• Ensures proposed data lineage designs align with the design work defined by Business Data Architecture.

• Manages key elements of one or more operational information and data projects. Assists in the gathering and evaluation of data. Evaluates data by interpretation, drawing practical conclusions from it and communicating data analysis results. Delivers on responsibilities for Sprint deliverables, when required.

•Guides stakeholders in understanding analyses / outcomes and using them. Helps the business find the right answer to solve their business problems; determines feasible solutions contributing to the development of new business models. Influential at team level through oral presentations, business cases and investment proposals.

EXPERTISE AND QUALIFICATIONS

• B.Tech/B.E. in Computers /BCA/MCA

• 1-2 years of overall work experience.

• 1-2 years of strong experience in Business Intelligence and Data Analytics

• Expert in SQL

• Working experience in R, Python Scipy, Matlab or any equivalent Statistical environment.

Experience with any of the standard BI Reporting/Visualisation tools like Quicksight/ Metabase/Tableau/Looker or any equivalent.

Nexara Analytics is seeking passionate and curious individuals to join us as Volunteer Data Analysts - a unique opportunity to engage in meaningful, collaborative data projects while developing your skills in a real-world setting.

This is a purpose-driven, remote volunteer role, ideal for those who want to grow by contributing to analytics initiatives and gaining valuable exposure across industries such as Retail, Biotech, Supply Chain, and Logistics.

Role: Volunteer Data Analyst

As a volunteer, you will:

• Support data preparation, transformation, and visualization using tools like Python, SQL, Excel, and Tableau
• Assist in Exploratory Data Analysis (EDA) to uncover trends and insights
• Work alongside the team to explore and analyze datasets using AWS and Azure
• Collaborate on data storytelling, dashboards, and reports that simulate business scenarios
• Contribute to team efforts while receiving mentorship from experienced data professionals

Who We're Looking For

• Enthusiastic learners with a strong interest in Data Analytics
• Basic knowledge of Python, SQL, or Excel (preferred but not required)
• Eagerness to explore cloud technologies like AWS and Azure
• Detail-oriented individuals with a problem-solving mindset
• Self-motivated team players comfortable working remotely

What You'll Gain

• Exposure to real-world data projects in an applied, collaborative setting
• Mentorship and guidance from experienced analytics professionals
• Opportunities to strengthen your portfolio and grow your professional network
• A chance to make a meaningful contribution to innovative data work

Note: This is an unpaid, remote volunteer position designed for learning, contribution, and skill development. It is not a substitute for paid employment. Volunteers contribute under mentorship and are not expected to perform business-critical functions.

Ready to make your time count?

Reach out at or message us to explore how you can contribute.

ROLE:

Responsible for designing, developing and maintaining business intelligence solutions. Crafting and executing queries upon request for data, presenting information through reports and visualization on Power BI. Responsible for data analysis, developing reports, dashboards and writing complex SQL queries.

Should have hand-on experience on Tableau/Power BI

KEY RESPONSIBILITIES:

• Design and implement business intelligence solutions and dashboards using Power BI /Tableau that generate insights and provide decision support for our enterprise clients.

• Support data engineering using ETL tools and build enterprise Data warehouses.
• Work with stakeholders to determine business requirements, priorities, define key performance indicators (KPI) and develop BI and data warehouse (DW) strategy.
• Analyze large amounts of raw data and summarize into clear, accurate, meaningful, value added reports and analysis.
• Identify new and emerging technologies and enhance existing processes related to analytics and business intelligence.

Essential Skills:

• 3-5 years of Business Intelligence experience, having implemented multiple end to end projects from data aggregation, metric definition and dashboard development.
• At least 2 years of hands on experience Power BI or Tableau with the ability to independently conceptualize and generate metrics, reports and dashboards.
• Experience with one or more databases like MS SQL, MySQL, PostgreSQL and comfortable with writing complex SQL queries.
• Excellent analytical and communication skills.

Company Description

Sambodhi Research & Communications is a consultancy that focuses on creating high-impact knowledge to drive accountability in the public domain. We offer project management, monitoring & evaluation, and research solutions to various stakeholders including governments, aid agencies, and philanthropic foundations. Our work spans across sectors such as public health, nutrition, sanitation, renewable energy, and livelihoods. We also contribute to building a community of evaluators in South Asia through initiatives like the Community of Evaluators-South Asia and the South Asian Journal for Evaluation in Practice.

Primary Responsibilities

• Conducting comprehensive market research to gather relevant data.
• Analyzing quantitative and qualitative data to identify trends and insights.
• Preparing detailed reports that summarize findings and provide actionable recommendations.
• Collaborating with team members to design research methodologies tailored to specific projects.
• Presenting research findings to stakeholders in a clear and concise manner.

Skills and Qualifications

• Strong analytical skills with proficiency in statistical software and tools.
• Excellent written and verbal communication skills for report writing and presentations.
• Ability to work independently as well as in a team-oriented environment.
• Familiarity with research methodologies and data collection techniques.
• A degree in a relevant field such as social sciences, statistics, or business is often preferred.

Role Expectations:

Data Collection and Cleaning:

• Collect, organize, and clean large datasets from various sources (internal databases, external APIs, spreadsheets, etc.).
• Ensure data accuracy, completeness, and consistency by cleaning and transforming raw data into usable formats.

Data Analysis:

• Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies.
• Conduct statistical analysis to support decision-making and uncover insights.
• Use analytical methods to identify opportunities for process improvements, cost reductions, and efficiency enhancements.

Reporting and Visualization:

• Create and maintain clear, actionable, and accurate reports and dashboards for both technical and non-technical stakeholders.
• Design data visualizations (charts, graphs, and tables) that communicate findings effectively to decision-makers.
• Worked on PowerBI , Tableau and Pythoin Libraries for Data visualization like matplotlib , seaborn , plotly , Pyplot , pandas etc
• Experience in generating the Descriptive , Predictive & prescriptive Insights with Gen AI using MS Copilot in PowerBI.
• Experience in Prompt Engineering & RAG Architectures
• Prepare reports for upper management and other departments, presenting key findings and recommendations.

Collaboration:

• Work closely with cross-functional teams (marketing, finance, operations, etc.) to understand their data needs and provide actionable insights.
• Collaborate with IT and database administrators to ensure data is accessible and well-structured.
• Provide support and guidance to other teams regarding data-related questions or issues.

Data Integrity and Security:

• Ensure compliance with data privacy and security policies and practices.
• Maintain data integrity and assist with implementing best practices for data storage and access.

Continuous Improvement:

• Stay current with emerging data analysis techniques, tools, and industry trends.
• Recommend improvements to data collection, processing, and analysis procedures to enhance operational efficiency.

Qualifications:

Education:

• Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, or a related field.
• A Master's degree or relevant certifications (e.g., in data analysis, business intelligence) is a plus.

Experience:

• Proven experience as a Data Analyst or in a similar analytical role (typically 7+ years).
• Experience with data visualization tools (e.g., Tableau, Power BI, Looker).
• Strong knowledge of SQL and experience with relational databases.
• Familiarity with data manipulation and analysis tools (e.g., Python, R, Excel, SPSS).
• Worked on PowerBI , Tableau and Pythoin Libraries for Data visualization like matplotlib , seaborn , plotly , Pyplot , pandas etc
• Experience with big data technologies (e.g., Hadoop, Spark) is a plus.

Technical Skills:

• Proficiency in SQL and data query languages.
• Knowledge of statistical analysis and methodologies.
• Experience with data visualization and reporting tools.
• Knowledge of data cleaning and transformation techniques.
• Familiarity with machine learning and AI concepts is an advantage (for more advanced roles).

Soft Skills:

• Strong analytical and problem-solving abilities.
• Excellent attention to detail and ability to identify trends in complex data sets.
• Good communication skills to present data insights clearly to both technical and non-technical audiences.
• Ability to work independently and as part of a team.
• Strong time management and organizational skills, with the ability to prioritize tasks effectively.

Role : Data Analyst- Mongo DB

We are looking for 5-10 years of experience in database development, with a strong knowledge of database management systems such as Mongo Database and NoSQL.

Technical Skills:

5-10 years of database development experience

Strong proficiency in MongoDB and NoSQL database management.

Experience with database design, indexing, and query optimization.

Knowledge of aggregation frameworks and data modeling.

Familiarity with MongoDB Atlas and cloud-based database solutions.

Understanding of database security, authentication, and encryption.

Strong problem-solving and analytical skills.

Familiarity with performance monitoring tools and database tuning techniques.

Excellent communication and team collaboration abilities.

Proficiency in Oracle / PL SQL development

Roles & Responsibilities

Design and implement MongoDB database structures for optimal performance.

Develop and optimize queries, indexes, and data aggregation pipelines.

Ensure database security, backups, and failover strategies.

Implement scalability solutions such as sharding and replication.

Work with backend developers to integrate MongoDB with applications.

Optimize read and write operations for large-scale databases.

Monitor database performance and troubleshoot issues.

Ensure data integrity and consistency across multiple environments.

Automate database deployment and maintenance tasks.

Stay updated with MongoDB best practices and new features.

Qualification:

Somebody who has at least 5-10 years of Mongo database development experience.

Education qualification: Any degree from a reputed college

The ideal candidate will use their passion for big data and analytics to provide insights to the business covering a range of topics. They will be responsible for conducting both recurring and ad hoc analysis for business users.

Responsibilities

• Understand the day-to-day issues that our business faces, which can be better understood with data
• Compile and analyze data related to business' issues
• Develop clear visualizations to convey complicated data in a straightforward fashion

Qualifications

The Data Analyst will be responsible for analyzing business processes, identifying areas for improvement, and developing strategies to enhance efficiency and productivity. The ideal candidate will possess strong analytical skills, excellent communication abilities, and a deep understanding of business operations and IT systems.

Job Title: Analyst (Multiple Disciplines) at Cadila Pharmaceuticals

Location: Bhat, Gujarat (Cadila Pharmaceuticals Headquarters)

Cadila Pharmaceuticals is seeking highly motivated and analytically driven individuals to join our team as Analysts. We have exciting opportunities across various critical functions, including Human Resources, Manufacturing, Marketing, and Supply Chain. If you are passionate about transforming data into actionable insights and driving strategic decision-making, we encourage you to apply!

About the Role:

As an Analyst at Cadila Pharmaceuticals, you will play a pivotal role in enhancing organizational effectiveness, optimizing processes, and contributing directly to our growth and success. You will be instrumental in leveraging data to inform strategies, improve efficiency, and shape the future of our operations.

Key Responsibilities (Common Themes Across Disciplines):

• Data Management & Reporting: Collect, clean, analyze, and interpret large volumes of data from various sources. Develop regular and ad-hoc reports, dashboards, and analytics to monitor key metrics and trends.
• Analytical Insights & Recommendations: Transform complex data into clear, concise, and actionable insights. Propose data-backed recommendations to optimize strategies, improve performance, and address identified challenges.
• Cross-functional Collaboration: Work closely with diverse teams, including HR leadership, production, quality, engineering, sales, marketing, and procurement, to implement analytical solutions and drive initiatives.
• Process Improvement: Identify bottlenecks, inefficiencies, and areas for improvement, and actively participate in or lead initiatives aimed at process optimization and waste reduction.
• Technology & Systems Support: Work with various IT platforms and systems to ensure data integrity and optimize system utilization.

Specific Responsibilities by Discipline:

• Human Resources Analyst: Focus on HR data management, workforce planning, talent acquisition analytics, compensation & benefits analysis, employee engagement & retention insights, and performance management analytics.
• Manufacturing Analyst: Optimize manufacturing processes, support production planning & scheduling, participate in Lean & Six Sigma initiatives, and utilize predictive analytics for operational efficiency.
• Marketing Analyst: Conduct market intelligence & research, track marketing campaign performance, analyze sales & market share, assist in forecasting & budgeting, and perform competitive analysis.
• Supply Chain Analyst: Focus on demand & supply planning, inventory optimization, logistics & distribution analysis, supplier performance management, network design, and risk assessment within the supply chain.

Qualifications:

• Education:For HR Analyst & Marketing Analyst: Master of Business Administration (MBA) from a Tier 1 / Premier Institute / B-School is mandatory (XIMB, XISS, SCMHRD for HR Analyst recommended).
• For Manufacturing Analyst & Supply Chain Analyst: B.Tech or M.Tech in a relevant quantitative discipline such as Operations Management, Industrial Engineering, Manufacturing Engineering, Systems Engineering, Supply Chain Management, Logistics, Operations Research, or Business Analytics from IIT Gandhinagar, any other Indian Institute of Technology (IIT), NITIE, or the Indian Statistical Institute (ISI).
• Experience: 1-2 years of experience in a relevant analytical role (HR analytics, HR operations, manufacturing analysis, operations consulting, supply chain analytics, marketing analysis, business intelligence). Fresh graduates with strong relevant academic projects or internships are strongly encouraged to apply.

Skills and Requirements:

• Analytical Acumen: Exceptional analytical, quantitative, and problem-solving skills with a proven ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy. Ability to interpret large datasets and translate them into clear, actionable insights.
• Technical Proficiency:Advanced proficiency in Microsoft Excel (pivot tables, VLOOKUP, statistical functions, advanced formulas, VBA where applicable) is essential.
• Familiarity with HRIS systems (e.g., SAP SuccessFactors, Workday, Oracle HCM) is highly desirable for HR roles.
• Experience with business intelligence/data visualization tools (e.g., Tableau, Power BI) is a significant advantage across all roles.
• Proficiency in statistical software (e.g., R, Python) for data analysis and modeling is highly desirable for Manufacturing, Marketing, and Supply Chain roles, and a significant plus for Marketing.
• Knowledge of ERP systems (e.g., SAP PP/QM modules for Manufacturing, SAP APO, MM, SD modules for Supply Chain) is a plus.
• Basic understanding of statistical concepts and their application in analytics.
• Communication Skills: Excellent verbal and written communication skills, with the ability to present complex data and insights clearly, concisely, and persuasively to diverse audiences.
• Domain Knowledge:HR Analyst: Strong foundational understanding of HR principles, practices, and functions.
• Manufacturing Analyst: Solid understanding of manufacturing principles, production processes, supply chain management, and quality control methodologies (e.g., Lean, Six Sigma, GMP).
• Marketing Analyst: A basic understanding of the pharmaceutical industry, healthcare landscape, or pharmaceutical marketing principles will be an added advantage.
• Supply Chain Analyst: Solid understanding of end-to-end supply chain processes, including demand planning, inventory management, logistics, warehousing, procurement, and S&OP.
• Problem-Solving: Demonstrated ability to identify complex problems, break them down, and develop practical, innovative solutions.
• Attention to Detail: Meticulous attention to detail and a commitment to data accuracy and integrity.
• Proactive & Collaborative: A self-starter who can work independently and as part of a team, with a strong commitment to continuous improvement. Capable of thriving in a fast-paced, dynamic environment.

Roles and Responsibilities :

Analyze category performance across sales channels (D2C, marketplaces,

offline).

Track KPIs like revenue, ASP, margin, sell-through, stock cover, and

inventory turns.

Conduct pricing, discount, and profitability analysis at SKU and category

levels.

Identify top-performing or underperforming products and uncover

performance drivers.

Build dashboards and automated reports for category health and

inventory planning.

Collaborate with marketing, SCM, and category teams to inform business

decisions.

Perform trend, seasonality, and cohort analysis to improve demand

forecasting.

Use customer behavior data (views, clicks, conversions) to support

assortment planning.

Automate reporting workflows and optimize SQL/Python pipelines.

Support new product launches with benchmarks and success prediction

models.

Skills & Qualifications :

0-2 years of experience in a data analytics role, preferably in E-

commerce or Retail.

Proficiency in MySQL: writing complex queries, joins, window functions.

Advanced Excel/Google Sheets: pivot tables, dynamic dashboards,

conditional formatting.

Experience in Python: Pandas, automation scripts, statsmodels/scikit-

learn.

Comfort with data visualization: Power BI / Tableau / Looker Studio.

Understanding of product lifecycle, inventory metrics, pricing levers, and

customer insights.

Strong foundation in statistics: descriptive stats, A/B testing, forecasting

models.

Excellent problem-solving, data storytelling, and cross-functional

collaboration skills.

Preferred / Bonus Skills :

Experience with Shopify, Magento, or other e-commerce platforms.

Familiarity with Google Analytics 4 (GA4).

Knowledge of merchandising or visual analytics.

Exposure to machine learning (e.g., clustering, success prediction).

Experience with VBA or Google Apps Script for reporting automation.