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About Delta Tech Hub:

Delta Air Lines (NYSE: DAL) is the U.S. global airline leader in safety, innovation, reliability and customer experience. Powered by our employees around the world, Delta has for a decade led the airline industry in operational excellence while maintaining our reputation for award-winning customer service. With our mission of connecting the people and cultures of the globe, Delta strives to foster understanding across a diverse world and serve as a force for social good. Delta has fast emerged as a customer-oriented, innovation-led, technology-driven business. The Delta Technology Hub will contribute directly to these objectives. It will sustain our long-term aspirations of delivering niche, IP-intensive, high-value, and innovative solutions. It supports various teams and functions across Delta and is an integral part of our transformation agenda, working seamlessly with a global team to create memorable experiences for customers.

Summary of responsibilities (not comprehensive of all tasks):

Data Analytics Support:

• Support Propulsion Engineering with the business rules being applied for data centralization and data architecture.
• Partner with the Propulsion Engineering data team to support the identification and implementation of new data analytic requirements with data visualization, web analytics and data science.
• Partner with IT and other internal business groups as necessary to support deployment and product ionization of new analytical data requirements.
• Update and distribute the reoccurring reporting for the group and manage the reference tables.
• Product Support for the Propulsion Engineering webpage.

What you need to succeed (minimum qualifications):

• Bachelor of Engineering Degree (aerospace or mechanical preferred) or comparable experience in an engineering related discipline.
• Should have a technical knowledge of aircraft engines, engine shop processes, engine manuals and standards, and regulatory requirements.
• Previous Airline, OEM or MRO experience with commercial aircraft engines.
• Experience with SQL databases; specifically, DB2, Oracle, MSSQL, and MySQL
• Experience with data visualization in Tableau
• Experience with data analytics software packages such as Alteryx, R and/or Python
• Familiarity with airline flight operations and support system.
• Strong written and oral communication skills.
• Strong interpersonal skills.
• Embrace diverse people, thinking, and styles.
• Must be willing to travel as required.

Data Analytics & Insights Analyst

Astreya offers comprehensive IT support and managed services. These services include Data

Center and Network Management, Digital Workplace Services (like Service Desk, Audio Visual, and

IT Asset Management), as well as Next-Gen Digital Engineering services encompassing Software

Engineering, Data Engineering, and cybersecurity solutions. Astreya's expertise lies in creating

seamless interactions between people and technology to help organizations achieve operational

excellence and growth.

Job Description

We are seeking experienced Data and Insights Analyst to join our analytics division.

• You will be aligned with our Data Analytics and BI vertical and help us generate insights by leveraging the latest Analytics techniques to deliver value to our clients.
• You will also help us apply your expertise in building world-class solutions, conquering business problems, addressing technical challenges using Google Platforms and technologies.
• You will be required to utilize the existing Tools, frameworks, standards, patterns to create architectural foundations and services necessary for Analytics applications that scale from multi-user to enterprise-class
• You will be working as a part of the Google Analytics team which provides analytics, actionable insights and recommendations to internal & external organizations in terms of optimizing ROI & performance efficiency in operations.

Requirements

Experience & Education

• 5+ years of progressive experience in data analytics and business intelligence
• Bachelor's degree required; preferably in Computer Science, Analytics, Statistics,
• or related field
• Proven experience in the IT services industry or managed services provider environment
• Technical Expertise

Technical Expertise

• Extensive experience in Data Science and Advanced Analytics delivery teams
• Strong statistical programming experience - SQL, Python.
• Experience working with large data sets and big data tools like GCP (BigQuery, VertexAI), AWS, MS Azure etc.
• Solid knowledge in at least one of the following -
• Multivariate Statistics, Reliability Models, Markov Models, Stochastic models
• Classification, Regression, Clustering
• Ensemble Modelling (random forest, boosted tree, etc.)
• Experience in at least one of these business domains: Supply Chain, Marketing Analytics, Customer Analytics, Digital Marketing, eCommerce
• Extensive experience in client engagement and business development
• Ability to work in a global collaborative team environment

Industry Knowledge

Understanding of ITIL and IT service management frameworks

Experience with service desk metrics and KPIs

Knowledge of data center and network management analytics

Familiarity with cybersecurity analytics and reporting

About McDonald's:

One of the world's largest employers with locations in more than 100 countries, McDonald's Corporation has corporate opportunities in Hyderabad. Our global offices serve as dynamic innovation and operations hubs, designed to expand McDonald's global talent base and in-house expertise. Our new office in Hyderabad will bring together knowledge across business, technology, analytics, and AI, accelerating our ability to deliver impactful solutions for the business and our customers across the globe.

Position Summary:

Manager, Data Analytics (Reporting & Dashboarding COE Support)/ Manager, Reporting & Business Intelligence

The Manager, Reporting & Business Intelligence/ Reporting & Dashboard COE Support role will be a critical component of McDonald's Enterprise Data, Analytics and AI strategy. The role will support data-driven decision-making by analyzing trends, identifying opportunities, and delivering actionable insights. The role will be accountable for answering important business questions and finding ways to automate reports that drive efficiency.

Who we're looking for:

Primary Responsibilities:

• Collect requirements for data analysis based upon business requests. Build project plans for specific analyses based upon the requirements.
• Conduct in-depth analysis using descriptive and perspective techniques.
• Develop comprehensive dashboards with visualizations that can help leaders interpret results and track progress with ease.
• Use modern techniques to automate specific requests. This includes both the automation of specific analyses, as well as the standardization of reports
• Communicate insights from analysis and dashboards to leadership. This includes creating presentations and building summaries into dashboards.
• Collaborate with Tech to enhance data infrastructure based upon reporting needs.

Skill:

• Strong analytical and problem-solving skills with proficiency in data analysis tools and software.
• Experience in data visualization and storytelling to communicate insights effectively. Experience with Tableau is a plus.
• Advanced knowledge of SQL, Python and R is essential.
• Project management experience for data related initiatives at large global companies.
• Educational background in Data Science, Statistics, Computer Science, or a related field.
• 5+ years of Professional experience in data analytics, business intelligence, or a similar role.
• Ability to work collaboratively in cross-functional teams and manage multiple projects.

Work location: Hyderabad, India

Work pattern: Full time role.

Work mode: Hybrid.

Additional Information:

McDonald's is committed to providing qualified individuals with disabilities with reasonable accommodations to perform the essential functions of their jobs. McDonald's provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to sex, sex stereotyping, pregnancy (including pregnancy, childbirth, and medical conditions related to pregnancy, childbirth, or breastfeeding), race, color, religion, ancestry or national origin, age, disability status, medical condition, marital status, sexual orientation, gender, gender identity, gender expression, transgender status, protected military or veteran status, citizenship status, genetic information, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

McDonald's Capability Center India Private Limited ("McDonald's in India") is a proud equal opportunity employer and is committed to hiring a diverse workforce and sustaining an inclusive culture. At McDonald's in India, employment decisions are based on merit, job requirements, and business needs, and all qualified candidates are considered for employment. McDonald's in India does not discriminate based on race, religion, colour, age, gender, marital status, nationality, ethnic origin, sexual orientation, political affiliation, veteran status, disability status, medical history, parental status, genetic information, or any other basis protected under state or local laws.

Nothing in this job posting or description should be construed as an offer or guarantee of employment.

About us/Company overview:

mCaffeine is India's 1st caffeinated personal care brand with an exciting range of Caffeinated products for young and aspiring digital natives. We believe in Confidence over all skin & body biases. Redefining the old notions of beauty associated with colour, we never sell insecurities. We have vowed not to make fairness products. At mCaffeine beauty has no colour or gender. It's about you. You are a revolution, a culture, a routine, a high, and essentially now - a lifestyle. You are Bold, Young and Confident.

Come, join the pack!

Job Responsibilities:

• Develops and maintains scalable data pipelines and builds out new API integration to support continuing increases in data volume and complexity.
• Collaborates with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility.
• Implements processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.

Qualifications and Experience Requirements:

• B.Sc. / BE degree in Computer Science, IT or a related technical field
• 2+ years in data engineering
• 2+ years of experience working with AWS Console (RDS, EC2, Lambda functions)
• 1+ years of SQL experience (MySQL experience is a plus)
• 1+ years of Python experience
• Experience with data warehousing, data modelling and ETL
• Experience in PowerBI is PLUS

Social Media handles:

Website -

LinkedIn -

Instagram -

Contact us:

TCS Hiring for Data Analytics and Insights Specialist - ignio AIOps

Experience: 6 to 8 Years Only

Job Location: THANE / HYDERABAD / PUNE

Job Title: Data Analytics and Insights Specialist - ignio AIOps

Key Responsibilities:

• Leverage ignio AIOps platform to extract, model, and visualize operational data insights.

• Analyze IT operations data (logs, metrics, events, topology) to uncover trends, anomalies, and root causes.

• Build dashboards and reporting solutions to provide real-time and historical insights to IT leadership.

• Collaborate with IT, DevOps, and Infrastructure teams to improve observability, reliability, and performance using data.

• Translate raw data into actionable insights and recommendations for process improvements and incident reduction.

• Integrate ignio AIOps with other tools (e.g., ServiceNow, Splunk, AppDynamics, etc.) to consolidate analytics.

• Support AI/ML model performance by monitoring outputs and retraining needs within ignio.

• Design KPIs to measure operational efficiency and AIOps outcomes.

• Identify automation opportunities and feed data-driven use cases into the AIOps roadmap.

Required Skills & Experience:

• 6-8 years of experience in data analytics or operations insights, ideally within an IT or DevOps environment.

• Hands-on experience with ignio AIOps platform (strongly preferred).

• Strong understanding of IT infrastructure, application monitoring, and incident management.

• Proficient in SQL, Python, or R for data manipulation and analysis.

• Experience with BI tools (e.g., Power BI, Tableau, or Grafana).

• Familiarity with ITSM tools and CMDB integration.

• Ability to interpret complex datasets and communicate findings clearly to technical and non-technical stakeholders.

• Knowledge of AI/ML principles and their application in IT operations is a plus.

• ignio AIOps certification or training.

• Experience with cloud platforms (AWS, Azure, or GCP) and hybrid IT environments.

• Knowledge of industry standards such as ITIL, DevOps, and SRE.

Kind Regards,

Priyankha M

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career.

Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.

Functional Description:

American Express is on a journey to provide the world's best customer experience every day. The GCS Product Analytics team plays a pivotal role within Global Commercial Services by developing cutting-edge data capabilities and leveraging advanced analytics to gain deep insights into client behavior. Our mission is to inform and shape product strategies and deliver connected, personalized experiences that foster deeper client engagement and drive sustainable, profitable growth.

The Digital Measurement & Analytics team is a part of GCS Product Analytics team and delivers digital analytics and insights for the GCS suite of digital products & platforms. The team is responsible for innovating and transforming the process to measure and understand the customer behavior towards our digital tools.

The analytical work will uncover insights that will drive GCS' global digital strategy and optimize the customer experience. Through world class innovation and advanced analytics, the team will create segmentations, develop KPIs, models and strategic analytics to solve key business opportunities. This will be achieved through a close collaboration with the digital product teams, marketing, servicing and technologies.

Purpose of the Role

Deliver actionable insights for GCS Digital Experiences by democratizing digital data, measuring product performance, conducting customer behavior deep dives and go-to-market segmentations. The role requires exhibiting a high level of expertise in driving decisions backed by data insights, strategic and advanced analytics, and data techniques. They will drive improvements in generating data driven actionable strategies to enable business growth initiatives.

How will you make an impact in this role?

In this role, the incumbent will be part of Digital Measurement & Analytics team. They will apply advanced analytics to drive segmentations, develop KPIs, models and strategic analytics to solve key business opportunities. This will be achieved through a close collaboration with the digital product teams, marketing, servicing, technologies, and field teams. They will- design measurement framework, conduct behavioral deep dives using Amex closed loop data to uncover product improvement opportunities, enable experimentation (AB Testing), work with leadership to define product strategy and maintain product performance reports/dashboards. This role requires candidates with analytical bent of mind and exceptional quantitative, problem-solving, and business story-telling skills.

Responsibilities:

Specific job responsibilities may vary as per the team responsibilities, but will involve aspects of the below:

• Perform in-depth data analysis to deliver strategic priorities focused on the product roadmap for GCS Digital Experiences
• Define KPIs to measure the efficiency of digital channels/products and develop customer segmentation to drive "adoption and engagement" for AXP customers.
• Power in-depth strategic analysis and provide analytical and decision support by mining digital activity data along with AXP closed loop data.
• Gain deep functional understanding of the GCS digital channels over time and ensure analytical insights are relevant and actionable.
• Flawless execution of the development, validation and implementation of statistical projects and automated reports.
• Evaluate impact on business of different strategies/initiatives and generate insights and recommendations to fuel business growth.
• Build partnerships with internal partners such as Product, Technologies, Field, Servicing and Marketing to plan and prioritize various initiatives.
• Empower self-serve by crafting automated dashboards and reports using Adobe analytics suite or Tableau.
• Continuously broaden and strengthen knowledge of advance analytical methods and tools to further evolve our analytical practices.

Minimum Qualification

• 1 to 3 years of relevant analytics experience.
• Advanced degree in business administration, computer science, IT or Information management from premium institutes (preferred)
• Strong analytical, strategic thought leadership and problem-solving skills with ability to solve unstructured and complex business problems.
• Team player: Able to collaborate with partners and team members to define key business objectives, and to align on solutions that drive actionable items.
• Strong interpersonal, written, verbal communication, presentation, and storytelling skills enabling ability to interact effectively with business leaders and to present structured and compelling messages addressed to various levels within the organization.
• Results driven with strong project management skills, ability to work on multiple priorities and ensure track to exceed team goals.
• Passion for data science and machine learning: Proven track record of independently developing novel analytical solutions optimizing business processes or product constructs.
• Strong ability to drive results, self-starter.
• Experience in digital domain preferred.

Technical Skills/Capabilities

• Data
• Data manipulation - large & complex data sets
• Segmentation
• Analytics
• Business Intelligence & Visualization
• Machine Learning & AI
• Statistics & Hypothesis Testing
• Basic understanding of Agile product development

Knowledge of Platforms

• Big Data - Cornerstone, Hive, MapReduce
• Digital Tracking - Omniture/Adobe Analytics, Clickstream
• Visualization - Tableau

Compliance Language

We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:

• Competitive base salaries
• Bonus incentives
• Support for financial-well-being and retirement
• Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
• Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
• Generous paid parental leave policies (depending on your location)
• Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
• Free and confidential counseling support through our Healthy Minds program
• Career development and training opportunities

American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.

Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

Job Summary:

We are seeking a skilled and experienced SAP S/4HANA Data Analytics Manager to lead the design, implementation, and management of data analytics solutions within the SAP S/4HANA ecosystem. The role focuses on leveraging SAP technologies to drive insights, optimize decision-making, and enhance business performance.

Key Responsibilities:

Strategy and Leadership:

• Define and execute the data analytics strategy for SAP S/4HANA and associated platforms.
• Lead cross-functional teams to deliver data-driven insights aligned with business objectives.
• Act as a liaison between business stakeholders and technical teams to ensure effective communication and outcomes.

Project Management and Execution:

• Oversee the end-to-end lifecycle of SAP S/4HANA data analytics projects, from requirements gathering to deployment.
• Ensure compliance with timelines, budgets, and quality standards.
• Manage data migration and integration activities with legacy and third-party systems.

Data Analytics and Reporting:

• Develop and maintain analytical models, dashboards, and reports using tools such as SAP Analytics Cloud (SAC), BW/4HANA, and other related technologies.
• Utilize predictive analytics, machine learning, and other advanced techniques to deliver actionable insights.
• Ensure data accuracy, integrity, and consistency across systems.

Collaboration and Training:

• Work closely with business leaders, IT teams, and external consultants to implement and optimize data analytics solutions.
• Train end-users and teams on SAP analytics tools and best practices.

Governance and Compliance:

• Establish data governance processes to ensure compliance with regulatory standards.
• Monitor and maintain data security and privacy policies.

Required Skills and Qualifications:

• Bachelor's degree in Computer Science, Information Technology, Business Administration, or a related field; advanced degree preferred.
• 8+ years of experience in data analytics and business intelligence, with at least 5 years focused on SAP S/4HANA.
• Expertise in SAP Analytics tools such as SAP Analytics Cloud (SAC), BW/4HANA, and HANA Modeling.
• Strong understanding of SAP S/4HANA modules (e.g., Finance, Supply Chain, Procurement) and their data structures.
• Experience with data visualization and reporting tools (e.g., Tableau, Power BI) is a plus.
• Proficiency in SQL, ABAP, and data integration technologies.
• Strong analytical, problem-solving, and decision-making skills.
• Excellent leadership, communication, and interpersonal skills.

Preferred Skills:

• Knowledge of cloud technologies such as AWS, Azure, or Google Cloud in the context of SAP.
• Experience with AI/ML frameworks and their integration into SAP systems.
• Certifications in SAP Analytics Cloud or SAP S/4HANA modules.

Experience: 15+ years of progressive experience in program or project management within the capital markets and financial services sectors. Demonstrated expertise in SQL Server, Snowflake, Power BI, ETL processes, and Azure Cloud Data Platforms. Hands-on experience with big data technologies and modern data architecture. Proven track record in delivering projects emphasizing data quality, integrity, and accuracy. Deep understanding of private markets, including areas such as private equity, private credit, CLOs, compliance, and regulations governing alternative investments.

About Straive:

Straive is a market leading Content and Data Technology company providing data services,

subject matter expertise, & technology solutions to multiple domains.

Data Analytics & Al Solutions, Data Al Powered Operations and Education & Learning form the core pillars of the company's long-term vision. The company is a specialized solutions provider to business information providers in finance, insurance, legal, real estate, life sciences and

logistics. Straive continues to be the leading content services provider to research and

education publishers. Data Analytics & Al Services: Our Data Solutions business has become critical to our client success. We use technology and Al with human experts-in loop to create data assets that our clients use to power their data products and their end customers' workflows. As our clients expect us to become their future-fit Analytics and Al partner, they look to us for help in building data analytics and Al enterprise capabilities for them.

With a client-base scoping 30 countries worldwide, Straive's multi-geographical resource pool is

strategically located in eight countries - India, Philippines, USA, Nicaragua, Vietnam, United

Kingdom, and the company headquarters in Singapore.

Roles and Responsibilities:

Utilized analytics tools and methodologies to conduct in-depth assessments and

generate analytical reports and dashboards.

Discover, analyze, and scope data requirements & representing them in conceptual and

logical data models.

Gather, analyze and visualize data pertaining to various business processes such as

forecasts, ecommerce, inventory, pricing and promotion, store profile, e-commerce

data to develop channel models.

Empower the business by creating value through the increased adoption of data, data

science and business intelligence landscape.

Generate and present data driven insights from analytical dashboards to the business

partners or stakeholders

Gather business requirements from stakeholders or business and convert it into

actionable plan.

Skills Required:

Experience working with structured/unstructured datasets, ability to clearly document

and communicate requirement to technical team members.

Experience with Business Intelligence tools such as Tableau (preferred)

Experience with Programming tools such as SQL, Tableau, Python

Qualifications:

Bachelor's degree in engineering, technology, computer science or related field.

Master's degree in tech or in management is a plus.

2-5 years of proven business intelligence & data analytics experience.

Experience in E commerce/Banking industry.

Excellent communication and presentation skills with the ability to convey

complex information clearly and concisely.

Detail-oriented with a proactive mindset toward problem-solving.

This is open for Gurugram, Hyderabad and Bangalore.

• Position Title -Data Analytics Manager
• Location - Bengaluru-Corporate Office
• Total Experience of 4 to 10 Years
• Qualification - Bachelor's in data science & Statistics, Computer Science, or bachelor's in Engineering
• Direct Reporting - Nil (Individual Contributor)
• Industry- FMCD (Small Appliances, preferably)/FMCG/FMEG/Luggage /Building Material/ Retail

Key Responsibilities:-

Data Analysis and Reporting:

• Be the central point for all business and performance analytics
• Oversee the collection, processing, and interpretation of large datasets
• Manage all MIS and reports for various functions and ensure timely delivery of reports to each function.
• Develop self-serve BI tools and automated reporting for functional leaders
• Identify trends, patterns, and insights to drive strategic decision-making
• Build and maintain executive dashboards to monitor business health and performance metrics.

Data Strategy Development:

• Develop and implement data analytics strategies to support business objectives.
• Partner with the Head of Strategy to define KPIs, track strategic projects, and measure business performance.
• Collaborate with other departments to understand their data needs and provide actionable insights.

Team Management:

• Led and mentored a team of data analysts and MIS experts
• Ensured projects were completed on time and within budget
• Foster a collaborative and innovative work environment

Tool and System Management:

• Implement and maintain data analytics tools and systems
• Ensure the efficient operation of data collection and analysis processes
• Troubleshoot and resolve any issues related to data systems
• Use statistical methods, predictive modeling, and data mining techniques to inform decision-making
• Provide ROI analysis on transformation and cost-saving initiatives

Stakeholder Communication:

• Act as the analytics point of contact for strategy-related initiatives
• Work with product, IT, supply chain, and marketing teams to gather data and align KPIs.
• Present insights and recommendations to senior leadership in a clear and compelling manner

Other Responsibilities:

• Delivery of data services to support marketing activities
• Program and develop Extract, Transform and Load programs to support integration
• Ensure data quality within the database - Data Loading and error handling
• User Acceptance Test to ensure Quality in deliverables
• Produce high standard of documentation on data flows and processes
• Coordinated data campaigns and analysis projects, including segmentation and modeling deliverables.
• Assess client and 3rd party data sources and new data capture opportunities to enhance existing data.
• Defined and set up reporting and analysis processes and deliverables that meet client objectives.

Key Performance Indicator:-

• Data Accuracy: Accuracy and reliability of data collected and analyzed
• Insight Utilization: Percentage of business decisions influenced by data insights
• Project Timeliness: Completion of data projects within the agreed timelines
• Team Performance: Productivity and development of the data analytics team
• Stakeholder Satisfaction: Feedback from stakeholders on the usefulness and clarity of data insights
• Familiarity with cloud data platforms (e.g., Azure, AWS, Google BigQuery)

Remarks:-

• Experience working with ERP & CRM systems such as SAP, Salesforce or similar Strong command of SQL, Excel, and at least one scripting language (Python, R, etc.)
• Proven experience building dashboards (Power BI, Tableau, QlikView, etc.) and working with large data sets.
• Knowledge of data management best practices and regulatory requirements.
• Knowledge of data management best practices and regulatory requirements.
• Good Communication & Influencing Skills.
• Looking for stable candidates only (Frequent job changes will be not considered).
• Local Candidates will be preferred