Find Your Dream Data Analyst Job in India

We are seeking a detail-oriented and proactive Data Analyst to join our team. In this role, you will be responsible for transforming raw company data into actionable insights, creating dynamic dashboards, and managing daily reporting pipelines from various departments.

This is a strictly on-site role based at our factory location in Morbi. We are looking for candidates currently residing in, or willing to commute daily from, Rajkot or Morbi.

• Data Analysis & Visualization: Analyze company operational and financial data. Design, build, and maintain visually appealing, easy-to-understand dashboards to help management make data-driven decisions.
• Daily Reporting: Oversee and collect daily work reports from company employees, ensuring accuracy and timely data entry.
• Zoho Ecosystem Management: Utilize Zoho Analytics and other Zoho applications to streamline data collection, integration, and reporting workflows.
• Cross-Functional Collaboration: Work closely with different departments to understand their data needs and translate them into technical dashboard requirements.

• Location: Must be a resident of Rajkot or Morbi (or capable of daily commute to the Morbi factory).
• Work Mode: 100% On-site (Factory location).
• Technical Skills: Advanced proficiency in Zoho Analytics and experience with other Zoho Apps (CRM, Creator, Books, etc.) is highly preferred.
• Tools: Strong command over Excel/Google Sheets. Knowledge of Power BI or Tableau is a plus but Zoho is our primary focus.
• Soft Skills: Excellent communication skills to manage daily reporting with employees, strong analytical thinking, and attention to detail.
• Experience: 1-3 years of experience in a data analyst or reporting role (Experience in a manufacturing/factory environment is a benefit).

We are seeking a detail-oriented and proactive Data Analyst to join our team. In this role, you will be responsible for transforming raw company data into actionable insights, creating dynamic dashboards, and managing daily reporting pipelines from various departments.

This is a strictly on-site role based at our factory location in Morbi. We are looking for candidates currently residing in, or willing to commute daily from, Rajkot or Morbi.

• Data Analysis & Visualization: Analyze company operational and financial data. Design, build, and maintain visually appealing, easy-to-understand dashboards to help management make data-driven decisions.
• Daily Reporting: Oversee and collect daily work reports from company employees, ensuring accuracy and timely data entry.
• Zoho Ecosystem Management: Utilize Zoho Analytics and other Zoho applications to streamline data collection, integration, and reporting workflows.
• Cross-Functional Collaboration: Work closely with different departments to understand their data needs and translate them into technical dashboard requirements.

• Location: Must be a resident of Rajkot or Morbi (or capable of daily commute to the Morbi factory).
• Work Mode: 100% On-site (Factory location).
• Technical Skills: Advanced proficiency in Zoho Analytics and experience with other Zoho Apps (CRM, Creator, Books, etc.) is highly preferred.
• Tools: Strong command over Excel/Google Sheets. Knowledge of Power BI or Tableau is a plus but Zoho is our primary focus.
• Soft Skills: Excellent communication skills to manage daily reporting with employees, strong analytical thinking, and attention to detail.
• Experience: 1-3 years of experience in a data analyst or reporting role (Experience in a manufacturing/factory environment is a benefit).

Job Description

Newton School is a technology education company bridging the gap between academic learning and industry application. Founded by IIT alumni, it is building an ecosystem where technology, pedagogy, and employability converge to create measurable impact.

Over 4,500 students have been placed across 800+ companies including Google,

Flipkart, and Deloitte, with learners trained by industry experts from organizations such as Amazon, Razorpay, and Meesho. Teams at Newton School work at the intersection of education and innovation by designing scalable models that make high-quality tech learning accessible, practical, and industry-ready.

About the Role:

We are seeking an Academic Program Manager with proven, practical experience in data analytics (DA), Python, and SQL. This is not a traditional data science or highly technical engineering position. Instead, our ideal candidate brings hands-on technical fluency together with collaborative, people-oriented strengths to support program delivery, manage teams, and drive learner engagement.

The position emphasizes:

Technical proficiency: Practical knowledge of data analytics techniques, Python, and SQL (without expecting advanced data science or engineering expertise).

Team leadership: Demonstrated experience in managing, leading, or coordinating a team.

Collaborative approach: Ability to work effectively with educators, program staff, and learners to achieve academic and organizational goals.

Responsibilities:

• Supporting learners' growth and delivering outcomes in an academic setting.
• Interview and B2B Operations.
• Driving placements and learners' supply for industry demands
• Structuring training and company-specific preparations for the learners.
• High face time with leadership team, along with sales and marketing partnerships

Qualifications:

• Experience in teaching, mentoring, or prior work in edtech is highly valued but not mandatory.
• Experience in team management is a must.
• 2+ YOE in data-oriented roles
• Mandatory good knowledge of data analytics stacks and program management.

Job Description

Newton School is a technology education company bridging the gap between academic learning and industry application. Founded by IIT alumni, it is building an ecosystem where technology, pedagogy, and employability converge to create measurable impact.

Over 4,500 students have been placed across 800+ companies including Google,

Flipkart, and Deloitte, with learners trained by industry experts from organizations such as Amazon, Razorpay, and Meesho. Teams at Newton School work at the intersection of education and innovation by designing scalable models that make high-quality tech learning accessible, practical, and industry-ready.

About the Role:

We are seeking an Academic Program Manager with proven, practical experience in data analytics (DA), Python, and SQL. This is not a traditional data science or highly technical engineering position. Instead, our ideal candidate brings hands-on technical fluency together with collaborative, people-oriented strengths to support program delivery, manage teams, and drive learner engagement.

The position emphasizes:

Technical proficiency: Practical knowledge of data analytics techniques, Python, and SQL (without expecting advanced data science or engineering expertise).

Team leadership: Demonstrated experience in managing, leading, or coordinating a team.

Collaborative approach: Ability to work effectively with educators, program staff, and learners to achieve academic and organizational goals.

Responsibilities:

• Supporting learners' growth and delivering outcomes in an academic setting.
• Interview and B2B Operations.
• Driving placements and learners' supply for industry demands
• Structuring training and company-specific preparations for the learners.
• High face time with leadership team, along with sales and marketing partnerships

Qualifications:

• Experience in teaching, mentoring, or prior work in edtech is highly valued but not mandatory.
• Experience in team management is a must.
• 2+ YOE in data-oriented roles
• Mandatory good knowledge of data analytics stacks and program management.

About Position:

The Data Analyst ensures business and clinical validation of BigID discovery and classification outcomes. Data Analyst supports Data Architect in understanding the data architecture, data flows, archival and deletion dependencies and prerequisites.

• Role: Data Analyst
• Location: All Persistent locations
• Experience: 5-8years
• Job Type: Full Time Employment

What You'll Do:

• Validate sensitive data identification (PHI, PII) with business, compliance, and clinical stakeholders.
• Review classification accuracy, false positives, and false negatives.
• Provide business context to support refinement of entity definitions and policies.
• Facilitate data owner sign offs during readiness and implementation phases.

Expertise You'll Bring:

• SQL & Data Analysis expertise
• ETL & Data transformation skills
• Strong data modeling & reporting capabilities
• Business requirement analysis & stakeholder communication
• Python & Cloud exposure (preferred)

Benefits:

• Competitive salary and benefits package
• Culture focused on talent development with quarterly growth opportunities and company-sponsored higher education and certifications
• Opportunity to work with cutting-edge technologies
• Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards
• Annual health check-ups
• Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents

Values-Driven, People-Centric & Inclusive Work Environment:

Persistent Ltd. is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds.

• We support hybrid work and flexible hours to fit diverse lifestyles.
• Our office is accessibility-friendly, with ergonomic setups and assistive technologies to support employees with physical disabilities.
• If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment

Let's unleash your full potential at Persistent -

"Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind."

Roles & Responsibilities

We are looking for a highly analytical and detail-oriented Data Analyst to join the analytics team. The ideal candidate should possess strong problem-solving capabilities, hands-on experience in data analysis, and the ability to convert complex datasets into actionable business insights. Candidates from B2C product-based organizations will be preferred, with strong priority given to professionals currently working at or having prior experience with Mu Sigma.

Key Responsibilities:

• Analyze large datasets to identify trends, patterns, and actionable insights
• Develop dashboards, reports, and MIS using Tableau, Power BI, or similar visualization tools
• Perform data extraction, transformation, and analysis using SQL and Excel
• Work closely with business stakeholders to understand requirements and provide analytical solutions
• Conduct exploratory data analysis, KPI tracking, forecasting, and performance analysis
• Support business decision-making through data-driven recommendations
• Ensure data accuracy, quality, and consistency across reports and dashboards
• Collaborate with cross-functional teams including business, operations, product, and technology teams

Ideal Candidate

• Strong Data Analyst profile
• Mandatory (Experience 1) - Must have 3+ years of experience in Data Analytics / Data Analysis roles
• Mandatory (Experience 2) - Strong hands-on expertise in SQL, Advanced Excel, Tableau, and Power BI
• Mandatory (Experience 3) - Proven experience in data extraction, data cleaning, transformation, dashboarding, and reporting
• Mandatory (Core Skills) - Expertise in SQL, Data Analysis, Data Visualization, Reporting, Statistical Analysis, Data Validation, and Dashboard Creation
• Mandatory (Technical Skills) - Strong understanding of databases, large datasets, KPI reporting, and analytical techniques
• Mandatory (Company) - Candidates from B2C product-based companies will be preferred OR working at or having prior experience with Mu Sigma will be given high priority
• Mandatory (Note) - The CTC breakup will be up to 75% Fixed + 25% Variable
• Preferred (Technical 1) - Knowledge of Python or R for analytics and automation
• Preferred (Technical 2) - Exposure to ETL, data warehousing, or big data technologies
• Preferred (Soft Skills) - Strong problem-solving, communication, and stakeholder interaction skills

Perks, Benefits & Culture

Our people define our passion and our audacious, incredibly rewarding achievements. Bajaj Finance Limited is one of India's most diversified Non-banking financial companies, and among Asia's top 10 Large workplaces. If you have the drive to get ahead, we can help find you an opportunity at any of the 500+ locations we're present in India.

Our Client: Our client is a pioneering community management platform transforming gated communities living in India. With its innovative app-based solutions, the company is revolutionizing security, communication, and convenience across the country. Key features like visitor management, payment collection, and resident engagement have redefined community operations, making it a trusted name in the prop-tech space. Its rapid adoption demonstrates its scalability and significant impact on enhancing everyday life.

Job Title: Data Analyst (Real Estate Marketplace)

Education: Graduate

Experience: 2-4 years

Location: Bangalore

About the Role: We are looking for a Data Analyst to support a real estate marketplace business. The role involves working with the Business Head and Growth Analyst on marketplace analytics, operational reporting, funnel tracking, and performance monitoring across supply, inside sales, and broker operations. This is an execution-focused role requiring strong Excel skills, analytical thinking, attention to detail, and the ability to work with large datasets.

Key Responsibilities:

• Track and maintain daily, weekly, and monthly business reports while monitoring key marketplace metrics across supply, demand, inside sales, broker operations, and closures.
• Create dashboards and trackers for operational and business reviews and support analysis of customer funnels and conversion metrics.
• Analyze business and operational data to identify trends, gaps, and improvement areas across the marketplace.
• Support Growth Analyst in marketplace analysis, pricing analysis, funnel tracking, cohort analysis, and other operational insights.
• Generate actionable insights to improve listing quality, lead conversion, broker productivity, and customer engagement.
• Manage large datasets using Excel, build MIS reports, dashboards, pivot tables, lookup functions, and work closely with cross-functional teams including operations, supply, inside sales, and broker engagement to support reporting needs.

Requirements:

• 2-4 years of experience in business analytics, MIS, reporting, operations analytics, or marketplace analytics
• Strong proficiency in Excel is mandatory
• Good understanding of pivot tables, VLOOKUP/XLOOKUP, data cleaning, reporting, and dashboards
• Strong analytical thinking and problem-solving skills
• High attention to detail with a focus on data accuracy
• Comfortable working with large datasets and operational metrics

About Hiregenie: Hireginie is a leading talent search company dedicated to connecting top talent with top organizations. We specialize in delivering customized recruitment solutions across industries, ensuring a seamless and transparent hiring experience. Our mission is to empower both clients and candidates by matching the right talent with the right opportunities, fostering growth and success for all.

Our Client: Our client is a pioneering community management platform transforming gated communities living in India. With its innovative app-based solutions, the company is revolutionizing security, communication, and convenience across the country. Key features like visitor management, payment collection, and resident engagement have redefined community operations, making it a trusted name in the prop-tech space. Its rapid adoption demonstrates its scalability and significant impact on enhancing everyday life.

Job Title: Data Analyst (Real Estate Marketplace)

Education: Graduate

Experience: 2-4 years

Location: Bangalore

About the Role: We are looking for a Data Analyst to support a real estate marketplace business. The role involves working with the Business Head and Growth Analyst on marketplace analytics, operational reporting, funnel tracking, and performance monitoring across supply, inside sales, and broker operations. This is an execution-focused role requiring strong Excel skills, analytical thinking, attention to detail, and the ability to work with large datasets.

Key Responsibilities:

• Track and maintain daily, weekly, and monthly business reports while monitoring key marketplace metrics across supply, demand, inside sales, broker operations, and closures.
• Create dashboards and trackers for operational and business reviews and support analysis of customer funnels and conversion metrics.
• Analyze business and operational data to identify trends, gaps, and improvement areas across the marketplace.
• Support Growth Analyst in marketplace analysis, pricing analysis, funnel tracking, cohort analysis, and other operational insights.
• Generate actionable insights to improve listing quality, lead conversion, broker productivity, and customer engagement.
• Manage large datasets using Excel, build MIS reports, dashboards, pivot tables, lookup functions, and work closely with cross-functional teams including operations, supply, inside sales, and broker engagement to support reporting needs.

Requirements:

• 2-4 years of experience in business analytics, MIS, reporting, operations analytics, or marketplace analytics
• Strong proficiency in Excel is mandatory
• Good understanding of pivot tables, VLOOKUP/XLOOKUP, data cleaning, reporting, and dashboards
• Strong analytical thinking and problem-solving skills
• High attention to detail with a focus on data accuracy
• Comfortable working with large datasets and operational metrics

About Hiregenie: Hireginie is a leading talent search company dedicated to connecting top talent with top organizations. We specialize in delivering customized recruitment solutions across industries, ensuring a seamless and transparent hiring experience. Our mission is to empower both clients and candidates by matching the right talent with the right opportunities, fostering growth and success for all.

About Turing:

Based in San Francisco, California, Turing is the world's leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L

Role Overview:

We are looking for experienced Data Analysts (MLE Bench) to contribute to benchmark-driven evaluation projects focused on real-world machine learning systems. This role involves hands-on analytical work with production-like datasets, metrics, and ML outputs to help evaluate, diagnose, and improve the performance of advanced AI systems.

The ideal candidate is comfortable working at the intersection of data analysis and machine learning, with strong analytical rigor and the ability to work with real datasets and ML evaluation workflows.

What does day-to-day life look like?

• Analyze structured and unstructured datasets generated from ML training, inference, and evaluation pipelines.
• Define, compute, and validate metrics used to evaluate model performance and behavior.
• Investigate data distributions, model outputs, failure modes, and edge cases relevant to benchmark tasks.
• Write and run Python and SQL code to analyze data, create reports, and support evaluation workflows.
• Validate data quality, consistency, and correctness across datasets and experiments.
• Create clear, well-documented analytical artifacts and reproducible analysis workflows.
• Collaborate with ML engineers and researchers to design challenging, real-world evaluation scenarios for MLE Bench.

Requirements:

• Minimum 3+ years of experience as a Data Analyst or Analytics-focused Engineer.
• Strong proficiency in Python for data analysis.
• Solid experience with SQL and relational datasets.
• Experience analyzing ML outputs and evaluation metrics.
• Strong understanding of statistics and analytical reasoning.
• Ability to work with large, complex datasets and draw reliable insights.
• Experience writing clean, readable, and well-documented analytical code.
• Excellent spoken and written English communication skills.

Perks of Freelancing With Turing:

• Work in a fully remote environment.
• Opportunity to work on cutting-edge AI projects with leading LLM companies.

Offer Details:

• Commitments Required: At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST.
• Engagement Type: Contractor assignment (no medical/paid leave)
• Duration of Contract: 3 months (adjustable based on engagement)

Know amazing talent? Refer them at and earn money from your network.

About Turing:

Based in San Francisco, California, Turing is the world's leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L

Role Overview:

We are looking for experienced Data Analysts (MLE Bench) to contribute to benchmark-driven evaluation projects focused on real-world machine learning systems. This role involves hands-on analytical work with production-like datasets, metrics, and ML outputs to help evaluate, diagnose, and improve the performance of advanced AI systems.

The ideal candidate is comfortable working at the intersection of data analysis and machine learning, with strong analytical rigor and the ability to work with real datasets and ML evaluation workflows.

What does day-to-day life look like?

• Analyze structured and unstructured datasets generated from ML training, inference, and evaluation pipelines.
• Define, compute, and validate metrics used to evaluate model performance and behavior.
• Investigate data distributions, model outputs, failure modes, and edge cases relevant to benchmark tasks.
• Write and run Python and SQL code to analyze data, create reports, and support evaluation workflows.
• Validate data quality, consistency, and correctness across datasets and experiments.
• Create clear, well-documented analytical artifacts and reproducible analysis workflows.
• Collaborate with ML engineers and researchers to design challenging, real-world evaluation scenarios for MLE Bench.

Requirements:

• Minimum 3+ years of experience as a Data Analyst or Analytics-focused Engineer.
• Strong proficiency in Python for data analysis.
• Solid experience with SQL and relational datasets.
• Experience analyzing ML outputs and evaluation metrics.
• Strong understanding of statistics and analytical reasoning.
• Ability to work with large, complex datasets and draw reliable insights.
• Experience writing clean, readable, and well-documented analytical code.
• Excellent spoken and written English communication skills.

Perks of Freelancing With Turing:

• Work in a fully remote environment.
• Opportunity to work on cutting-edge AI projects with leading LLM companies.

Offer Details:

• Commitments Required: At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST.
• Engagement Type: Contractor assignment (no medical/paid leave)
• Duration of Contract: 3 months (adjustable based on engagement)

Know amazing talent? Refer them at and earn money from your network.

Working Hours: Aligned with UK business hours (or partial overlap)

About the Role

We are seeking a detail-oriented and commercially aware E-commerce Buyer Merchandiser & Data Analyst to support multiple UK-based businesses operating across various online sales channels.

This role combines merchandising with data analysis, requiring strong technical capability to manage product data, monitor performance, and deliver actionable insights. The successful candidate will play a key role in improving product visibility, stock accuracy, and overall sales performance.

Key Responsibilities

• Monitoring inventory levels and sales performance to drive profitability
• Vendor management
• Monitor stock levels and coordinate with warehouse systems to maintain availability
• Analyse sales performance and identify opportunities to grow revenue
• Build and maintain dashboards and reports using Power BI
• Work with large datasets to track product performance and trends
• Support bulk uploads, product imports, and data cleansing activities
• Collaborate with operations and logistics teams to align stock and listings
• Identify underperforming products and recommend actions (pricing, visibility, etc.)
• Manage stock intake to maximise sales and gross profit
• Provide meaningful data to UK on a daily and weekly basis

We Are Bamboo Digital

3 days ago