Find Your Dream Data Analytics Job in India

Job Title: Data Analytics (Writing Finance Commission Grants)

Location: Bhopal

Service Line- Government & Public Sector

Sub Service Line- Digital Government Advisory (DGA)

Work Arrangement- Client Location, on-site

KPMG is a global network of professional services firms providing Audit, Tax, and Advisory services. We operate in 143 countries and territories and have over 265,000 people working in member firms around the world. At KPMG in India, we are committed to delivering high-quality services that help our clients navigate complex challenges and drive sustainable growth.

KPMG India's Digital Government Advisory (DGA) practice helps government bodies modernize public services through technology. It offers strategic consulting, digital architecture, and sector-specific solutions across areas like transport, water, justice, and finance. The team enables large-scale e-Governance, data analytics, and automation to improve efficiency and citizen experience.

The Consultant - Data Analytics will be responsible for delivering high quality analytical support in public finance projects. The role involves conducting financial analysis, policy evaluation, budget preparation, revenue and expenditure studies, and supporting debt management for government and public sector engagements. The consultant will work closely with senior stakeholders to provide data-driven insights and assist in regulatory and compliance processes. People with experience in Writing Finance Commission Grants.

• Conduct policy analysis, techno-economic appraisals, and provide support in budget formulation, review, and analysis.
• Perform revenue augmentation studies, capital expenditure and receipts analysis, and interstate budget comparisons.
• Analyze financial data to identify trends, variances, and opportunities for improvement.
• Support the development of Budget Manuals and enhance accessibility of budget documents such as FS Memo.
• Execute end-to-end debt management analysis, including comparison of borrowing instruments.
• Assist in preparing statutory reports under the FRBM Act:
• Medium Term Fiscal Policy Statement
• Fiscal Policy Strategy Statement
• Macro Economic Framework Statement
• Medium Term Expenditure Framework Statement
• Ensure compliance with regulatory guidelines issued by RBI and the Ministry of Finance.
• Compile, organize, analyze, and report financial data for decision-making.
• Create and deploy queries, conduct data analysis, and prepare reports/presentations for stakeholders.

• Education: Graduation in any discipline AND Master's degree in Economics / Commerce / MCA / PGDM / PGDBM / MBA

• Experience: Minimum 5 years of experience in data analytics.
• Experience in at least one of the following domains: Banking / Finance / Insurance Services/ Development/ Economics/Data & Analytics/Writing Finance Commission Grants

• Proficiency in statistical and analytical tools such as: SAS, SPSS
• Programming skills in: R, SQL, STATA
• Experience with open-source tools such as: BI tools, R, Python
• Ability to develop user interfaces (UI); knowledge of UI/UX is desirable.
• Strong proficiency in MS Word, Excel, and PowerPoint.
• Familiarity with Business Intelligence platforms.

• Strong analytical and problem solving abilities.
• Ability to translate complex financial data into actionable insights.
• Excellent query development and database handling skills.
• Strong written and verbal communication in Hindi and English.
• Ability to prepare clear, insightful reports and presentations.
• Attention to detail, strong documentation skills, and adherence to regulatory standards.
• Capability to work with multidisciplinary teams in a dynamic, data-driven environment.

Perks & Benefits

• Comprehensive health coverage (medical, dental, vision) and wellness programs
• Competitive pay with performance bonuses and retirement benefits
• Flexible work options and generous paid time off, including parental and sabbatical leave
• Professional development through certifications, global mobility, and learning platforms
• Inclusive culture with recognition programs, volunteering opportunities, and employee engagement initiatives

KPMG India has a policy of providing equal opportunity for all applicants and employees regardless of their color, caste, religion, age, sex/gender, national origin, citizenship, sexual orientation, gender identity or expression, disability, or other legally protected status. As an equal opportunity employer, KPMG is committed to fostering a culture where everyone feels welcomed and is treated fairly. If you have any reasonable accessibility or accommodation requirement that will make you more comfortable during the assessment and recruitment process, please let us know and our Talent Acquisition colleague will connect with you.

Location

The successful candidate shall be placed at Pune Location. It is a Full-time Job, "No" remote work. Data Engineer willing to work on a 12-month contract/full-time may apply.

Experience

Candidates should have experience between 3-6 years

Role Description

About the Role

We are looking for a skilled Data Analyst (DA AC) with strong experience in claims data and commercial datasets. The role involves hands-on analytics, building data-driven insights, and leading the development of analytical frameworks while working closely with a team of data scientists and analysts.

Key Responsibilities

• Lead the development and enhancement of analytical frameworks to solve business problems
• Perform hands-on analysis of claims data and commercial datasets
• Write and optimize SQL queries to answer complex business questions
• Use Python for data analysis, data manipulation, and modeling
• Apply basic machine learning algorithms for predictive and descriptive analytics
• Collaborate closely with data scientists, analysts, and business stakeholders
• Translate business requirements into analytical solutions and insights
• Ensure data accuracy, consistency, and quality across analyses

Required Skills & Qualifications

• 3-6 years of experience in data analytics or data science roles
• Strong experience working with claims data
• Proficiency in Python (Pandas, NumPy, etc.)
• Strong SQL skills for querying and data extraction
• Experience with commercial datasets
• Understanding of basic machine learning algorithms (regression, classification, clustering, etc.)
• Strong analytical and problem-solving skills
• Ability to work hands-on while guiding and collaborating with a team

Nice to Have

• Experience in insurance, healthcare, or financial services domains
• Exposure to data visualization tools (Tableau, Power BI, etc.)
• Experience working in agile or fast-paced environments

ANSR is hiring for one of its clients.

About American Airlines:

To Care for People on Life's Journey . Together with our American Eagle regional partners, we offer thousands of flights daily to more than 350 destinations in more than 60 countries.

American Airlines is transforming the way it delivers technology to its customers and team members worldwide.

American's Tech Hub in Hyderabad, India, is our latest technology office location and home to team members who drive technical innovation and engineer unrivalled digital products to best serve American's customers and team members. With U.S. tech hubs in Dallas-Fort Worth, Texas and Phoenix, Arizona, our new team in Hyderabad, India enables better support of our 24/7 operation and positions American to deliver industry-leading technology solutions that create a world-class customer experience.

MANAGER, DATA ANALYTICS & INNOVATION

INTRO:

Are you ready to explore a world of possibilities? Join our American Airlines family, and you'll grow your expertise, and become the best version of you. As you embark on a new journey, you'll tackle challenges with flexibility and grace, learning new skills and advancing your career while having the time of your life. Feel free to enrich both your personal and work life and hop onboard!

WHY YOU'LL LOVE THIS JOB:

The Manager, Data Analytics & Innovation is part of the Revenue Management Organization. This role is responsible for expanding the capabilities of the Revenue Management Continuous Improvement team to enhance decision-making and embed innovation into revenue operations. It accelerates process improvements through structured methodologies and delivers analytical insights that support faster, data-informed decisions across entity teams. The role also drives the adoption of emerging technologies, including AI and automation, to transform how insights are generated and applied in pricing and revenue strategies.

This list is intended to reflect the current job but there may be additional essential functions (and certainly non-essential job functions) that are not referenced. Management will modify the job or require other tasks be performed whenever it is deemed appropriate to do so, observing, of course, any legal obligations including any collective bargaining obligations.

• Lead and develop a high-performing team of analysts, fostering a culture of integrity, accountability, inclusion, and continuous improvement
• Partner with Pricing and Yield Management teams to understand requirements, clarify scope and desired outcomes, and translate business needs into technical specifications, development plans, and delivery timelines throughout design, prototyping, and rollout
• Drive the development and deployment of GenAI, Agentic AI, and ML-powered agents that transform Revenue Management workflows
• Provide hands on technical direction to analysts and guide the team in applying advanced AI and ML methods to eliminate manual work and accelerate decision cycles
• Manage a portfolio of analytics and decision acceleration initiatives, define priorities based on business value, and coordinate development, testing, and deployment of scalable data driven and AI driven solutions
• Create standardized metrics, dashboards, and performance reporting to support regular business reviews and executive storytelling
• Provide technical leadership across Revenue Management by promoting the adoption of cutting edge analytical and AI technologies
• Own the lifecycle of analytical and AI-driven models and agents, including experimentation, validation, operationalization, and continuous improvement
• Champion an innovation first mindset and a culture of experimentation where ideas move quickly from concept to impact, ensuring innovation isn't just a buzzword but a measurable advantage for the business
• Ensure governance and compliance by enforcing data privacy, security, and quality standards, and maintaining clear documentation and controls
• Communicate technical concepts, model behavior, and design tradeoffs to non technical stakeholders to drive clarity, adoption, and business alignment
• Ability to work across time zones while operating independently, managing multiple priorities, and delivering against tight timelines

ALL YOU'LL NEED FOR SUCCESS

Minimum Qualifications - Education & Prior Job Experience:

• Bachelor's degree in a quantitative, technical, or business related field, such as Computer Science, Engineering, Statistics, Operations Research, Economics, Business Analytics, or a related discipline
• 8+ years of experience in analytics, data science, or a data driven role within complex and data intensive environments
• Experience leading teams within a global and cross functional environment
• Experience managing the full lifecycle of GenAI, Agentic AI, and ML solutions, including design, data integration, agent development, validation, deployment, and ongoing optimization to transform operational or analytical workflows that depend on robust and reliable data
• Experience working with large relational datasets and writing advanced SQL queries that involve complex joins, filtering logic, and performance optimized data retrieval
• Experience using Python to automate analytical and data workflows, including working within platforms such as Databricks or similar distributed computing environments

Preferred Qualifications - Education & Prior Job Experience:

• Master's degree in Business, Business Analytics, or a related quantitative field
• Previous experience within airlines, travel, e-commerce, consulting, finance, technology, or a related analytical field
• Experience establishing or scaling an analytics or automation center of excellence, including intake, governance, and portfolio management

Skills, Licenses, and Certifications:

• Experience developing and deploying AI, ML, GenAI, and Agentic AI solutions that integrate with structured and unstructured data in production environments
• Familiarity with MCP based server interfaces or similar agent to system communication patterns
• Familiarity with agent development platforms such as Microsoft Copilot Studio, LangChain, CrewAI, or similar frameworks used to build data connected AI agents
• Proficiency in Python for automation, including notebook based development and workflow orchestration in Databricks, Spark, Snowflake, or similar platforms
• Experience with cloud AI services such as Azure AI Foundry, Azure ML, Amazon Bedrock, or Google Vertex AI
• Ability to automate data pipelines and analytics workflows using tools such as Databricks Workflows, Airflow, Azure Data Factory, or similar orchestration systems
• Ability to build complex dashboards and analytical applications in Power BI, Tableau, or comparable BI platforms
• Strong SQL skills, including the ability to write advanced join logic and performance optimized queries across large relational datasets
• Leadership and strategic execution across global teams, with a focus on high-impact initiatives and continuous improvement
• Strong stakeholder management and communication skills across technical and non technical teams
• Ability to guide teams through Agile, iterative development cycles and manage multiple high impact workstreams

FEEL FREE TO BE YOURSELF AT AMERICAN:

Are you ready to feel a tremendous sense of pride and satisfaction as you do your part to keep the largest airline in the world running smoothly as we care for people on life's journey? Feel free to be yourself at American.

COMPETENCIES:

• Caring
• Collaboration
• Development
• Future
• Results

Job Title: Senior Consultant - Data Analytics & AI

About the firm:

Citrin Cooperman is one of the largest accounting and consulting firms in the United States, and 4th among mid-Atlantic firms, with over 2,500 employees in 22 U.S. and International offices. This year, we were rated one of the Top 50 Best Companies to work for according to We are always looking for new team members who bring a fresh perspective, technical expertise, and a passion for solving problems.

At Citrin Cooperman, we offer you the flexibility to take your career to the next level and still allow you to focus on what matters to you!

Citrin Cooperman India LLP ("CCI") provides shared services for Citrin Cooperman. Providing quality service to clients with the most efficient use of resources is always a challenge in today's professional world. CCI's mission is to provide outstanding professional support to all Citrin Cooperman offices throughout the year in the areas of accounting, attest and auditing, tax compliance and consulting, business advisory, valuation, litigation support, and other professional work.

Job Description:

Senior Consultant - Data Analytics & AI is responsible for designing and implementing cutting-edge analytics and AI solutions to help clients harness the power of their data. This role requires deep expertise in data analytics and AI, cloud-based platforms, with a strong emphasis on Microsoft Fabric. Lead data initiatives, optimize data pipelines, and develop AI-driven solutions that enhance business decision-making and operational efficiency.

Key Responsibilities:

Data Analytics & AI Solutions Development:

• Design and implement data analytics to support client business needs.

• Develop scalable data architectures, ETL/ELT pipelines, and real-time analytics solutions using Microsoft Fabric.

• Optimize data integration workflows using Microsoft OneLake, Synapse Data Engineering, and Data Factory.

• Implement AI-driven automation, predictive modeling, and machine learning solutions.

• Ensure data accuracy, consistency, and reliability across cloud and on-premises environments.

Microsoft Fabric & Cloud Expertise:

• Leverage Microsoft Fabric's suite of tools, Data Warehouse, Data Factory, Power BI, and Lakehouse architecture.

• Optimize data pipelines and analytics workflows for performance, cost efficiency, and scalability.

• Ability to guide clients in Microsoft Power BI data modeling, dashboard development, and AI-powered insights.

• Stay updated on Microsoft Fabric innovations, AI Copilot, and emerging data capabilities.

Client Engagement & Advisory:

• Act as a trusted advisor to clients, understanding their business needs and recommending tailored data solutions.

• Provide best practices on data governance, compliance, security, and responsible AI adoption.

• Translate technical concepts into clear, actionable business insights for non-technical audiences.

Project Delivery & Execution:

• Develop end-to-end analytics, ensuring timely and high-quality deliverables.

• Collaborate with cross-functional teams.

• Monitor project risks, troubleshoot technical challenges, and proactively mitigate roadblocks.

• Ensure documentation, training, and knowledge transfer for sustainable analytics adoption.

Qualifications & Experience:

• Bachelor's or master's degree in data science, Computer Science, Business Analytics, or a related field.

• 3+ years of experience in data analytics, AI, or cloud-based data engineering, with at least 2 years in a consulting role.

• Hands-on experience with Microsoft Fabric, including Synapse Analytics, Data Factory, OneLake, and Power BI is ideal.

• Strong proficiency in SQL, Python, or R for data manipulation and AI development.

• Experience with Azure services (Data Lake, Azure ML, Cognitive Services, Databricks, or Power Automate).

• Proven ability to design analytics solutions, optimize data pipelines, and drive business impact.

• Excellent problem-solving, communication, and stakeholder management skills.

Additional Qualifications:

• Microsoft Fabric or Azure certifications (e.g., Azure Data Engineer Associate, Azure AI Engineer).

• Experience with AI-powered analytics, NLP, and large-scale machine learning model deployment.

• Knowledge of data governance, security best practices, and compliance regulations.

Required Skills & Qualifications:

• 5+ years of relevant experience in data science and analytics, preferably in Financial Services
• Experience in leading and managing data analytics teams.
• Hands-on expertise in data engineering (SQL, Python) and BI development (Tableau, PowerBI etc.) with a focus on data analysis and modelling.
• Experience with deploying data analytics and ETL/BI solutions within cloud ecosystems like Amazon Web Services, Google Cloud Platform, Microsoft Azure
• Experience with financial datasets and strong mathematical background.
• Exposure to financial metrics datasets and asset classes.
• Strong communication skills, both written and oral, with a business and financial aptitude.

Key Responsibilities:

• Lead a range of BI and data analytics projects and POCs for financial services clients.
• Lead the design and development of advanced analytics solutions using Microsoft Fabric and Power BI.
• Architecting and managing Azure Data Factory pipelines to streamline data processing and integration for analytics and reporting into BI tools like Power BI and Tableau.
• Develop and deploy data integration solutions, including data ingestion, transformation, and delivery to consumers within Microsoft Fabric, while utilizing optimal storage formats and layers.
• Design and implement scalable and efficient data pipelines for both structured and unstructured data from diverse sources using Microsoft Fabric technologies (Dataflow gen2, Data Pipelines, PySpark notebooks, Spark SQL, and Python)
• Optimize BI solutions for performance and scalability.
• Create and maintain comprehensive documentation covering Data Fabric architecture, processes, and procedures.
• Serve as the primary contact for client communications, ensuring clear and effective information exchange.
• Incorporate feedback from clients and continuously improve models, dashboards, and processes.
• Maintain project documentation, including technical specifications, user guides, and project progress reports

Key Responsibilities

Preferred Qualification:

• Master's in science or engineering disciplines such as Computer Science, Engineering, Mathematics, Physics, etc.
• Preferred - Professional certifications on tools/technologies listed above
• Microsoft Certified: Power BI Data Analyst Associate
• Databricks Certified Data Engineer
• Snowflake SnowPro Core Certification
• Tableau Desktop Specialist
• Optional: Financial Modeling & Valuation Analyst (FMVA) for finance domain depth

1. Position Summary

The Full Stack Developer Lead is responsible for designing and leading development of user facing applications, dashboards, portals and APIs required to deliver AI, analytics and automation solutions to business users. This includes UIs for Manufacturing Control Tower, dashboards for Golden Batch and Yield, interfaces for OOS prediction and pricing models, and tools that enable RPA and AI capabilities to be consumed effectively.

2. Roles Played

• Technical lead for full stack development team.
• Owner of application architecture at solution level under guidance of Architecture Lead and Solution Architect.
• Custodian of code quality, UI/UX consistency and development best practices.

3. Key Platforms / Technologies

• Front end frameworks such as Angular, React or Vue.
• Back end technologies such as .NET, Java, Node.js or Python based services.
• APIs and microservices (REST, GraphQL etc.).
• Integration with data platforms, AI services and RPA tools.
• CI/CD tools, code repositories and DevOps pipelines.

4. Overall Job Responsibilities

A. Application & UI/UX Architecture ( 20%)

• Design application structure, technology stack and UI framework for AI and analytics solutions.
• Work with Solution Architect to ensure front-end and back-end design aligns with overall solution architecture.
• Define reusable components and design patterns for dashboards and portals.

B. Full Stack Development & Code Quality ( 30%)

• Lead the full stack team in developing scalable, maintainable applications.
• Enforce coding standards, code reviews and unit testing practices.
• Ensure applications are responsive, user friendly and meet business expectations.

C. Integration & API Development ( 20%)

• Design and build APIs and microservices to connect front end apps with data platforms, AI models and RPA services.
• Work closely with Data Engineering and Solution Architecture teams on data contracts and payloads.

D. DevOps & Release Management ( 10%)

• Collaborate with DevOps and infrastructure teams to set up CI/CD pipelines, environments and deployments.
• Ensure smooth releases and rollback strategies for production applications.

E. Security, Performance & Reliability ( 10%)

• Build security (authentication, authorization, input validation) into the application layer.
• Monitor and optimize application performance and error rates.
• Ensure logging and monitoring are in place for troubleshooting.

F. Team Leadership & Collaboration ( 10%)

• Mentor and guide full stack developers.
• Coordinate with UX designers, Data Engineers, Data Scientists and business SMEs.
• Support knowledge transfer and documentation for long-term maintainability.

5. External Interfaces

• Implementation partners and specialized UI/UX or development vendors.

6. Internal Interfaces

• Solution Architect and Architecture Lead.
• Data Engineering Lead and Data Science teams.
• Business SMEs and key user groups.
• Infrastructure / DevOps and Security teams.

8. Education

• Bachelor's degree in engineering / computer science / IT - mandatory.

9. Experience

• 8-12 years in software development with at least 3-5 years as Technical Lead / Full Stack Lead.
• Strong background building enterprise web applications and dashboards.
• Experience integrating with data platforms and APIs; exposure to analytics or AI products preferred.

10. Knowledge & Skills (Functional / Technical)

• Proficiency in at least one modern front-end framework and back-end stack.
• Experience designing RESTful APIs and working with JSON, XML etc.
• Familiarity with CI/CD, Git, automated testing and deployment practices.
• Basic understanding of data/analytics concepts and how UI accesses them.

11. Leadership / Managerial Attributes

• Strong ownership and bias for action.
• Ability to manage and mentor a small development team.
• Good communication and stakeholder management skills.

12. Other Requirements

• Relevant technology certifications are an advantage.
• Willingness to support critical releases outside business hours when required.

Company Description

CoachX.Live is an innovative online learning platform dedicated to equipping individuals with in-demand skills for a successful future. Through live learning sessions, we offer a diverse selection of certificate courses across advanced technologies and business essentials. Our experienced mentors ensure high-quality education, comprehensive guidance, and support throughout your learning journey. With value-added benefits such as two years of LMS access, doubt-solving sessions, resume and LinkedIn profile enhancement, and placement assistance, CoachX.Live is committed to empowering learners to unlock their full potential.

Role Description

We are looking for a passionate and industry-experienced Data Analytics Trainer to deliver high-impact, practical classroom training sessions. The trainer will be responsible for delivering structured curriculum, conducting hands-on sessions, mentoring learners, and ensuring strong placement readiness.

This role is ideal for professionals who enjoy teaching, mentoring, and shaping careers in Data Analytics.

Key Responsibilities

Deliver classroom training sessions on Data Analytics concepts

Teach tools such as Excel, SQL, Power BI / Tableau, and Python (for analytics)

Conduct hands-on projects and real-world case studies

Guide students in assignments, capstone projects, and doubt-solving

Support resume

1. POSITION VACANT: Monitoring, Evaluation & Data Analytics Manager, Resolve to Save Lives (2 Vacancies; Bhubaneshwar and Jaipur)

2. ORGANIZATION BACKGROUND:

Resolve to Save Lives (RTSL) is a US-based nonprofit organization that works in collaboration with government and other partners to end preventable deaths from cardiovascular disease. The organization is working to increase the global control of hypertension to 50%, reduce the global intake of salt by 30% and eliminate artificial trans-fat from the global food supply chain. RTSL is committed to saving lives from these preventable causes by implementing scalable and proven strategies to reach these goals.

Resolve to Save Lives Services Private Limited (RTSL-SPL), is a wholly owned subsidiary of RTSL and advances the organization’s mission by adapting these strategies to the country context. RTSL-SPL collaborates with experts, offers technical assistance, provides programmatic support, and generates evidence for policy action. RTSL-SPL aims to enhance cardiovascular health outcomes in India through evidence-based interventions and innovative strategies and is committed to supporting the Government of India in achieving Sustainable Development Goal (SDG) 3.4 .

RTSL’s cardiovascular health program supports the efforts o

Job Title: Senior Consultant – Data Analytics & AI

About the firm:

Citrin Cooperman is one of the largest accounting and consulting firms in the United States, and 4th among mid-Atlantic firms, with over 2,500 employees in 22 U.S. and International offices. This year, we were rated one of the Top 50 Best Companies to work for according to Vault.com. We are always looking for new team members who bring a fresh perspective, technical expertise, and a passion for solving problems.

At Citrin Cooperman, we offer you the flexibility to take your career to the next level and still allow you to focus on what matters to you!

Citrin Cooperman India LLP (“CCI”) provides shared services for Citrin Cooperman. Providing quality service to clients with the most efficient use of resources is always a challenge in today's professional world. CCI's mission is to provide outstanding professional support to all Citrin Cooperman offices throughout the year in the areas of accounting, attest and auditing, tax compliance and consulting, business advisory, valuation, litigation support, and other professional work.

Job Description:

Senior Consultant – Data Analytics & AI is responsible for designing and implementing cutting-edge analytics and AI solutions to help clients harness the power of their data. This role requires deep expertise in data analytics and AI, cloud-based platforms, with a strong emphasis on Microsoft Fab

Company Description

SkilloVilla is dedicated to empowering young graduates by bridging the skills gap between traditional education and rapidly evolving industry demands. With a mission to upskill talent and provide access to global job opportunities, SkilloVilla equips students with the tools needed to achieve their career aspirations. The platform offers industry-relevant curriculums, resume building assistance, mock interviews, and placement support, helping learners secure meaningful roles regardless of their education or economic background. Based in a country where a significant percentage of graduates face unemployment or underemployment, SkilloVilla strives to create real opportunities for professional growth and success in a technology-driven world.

Job Description:

This is a full-time on-site role based in Jaipur for a Data Analytics Instructor. Responsibilities include designing and delivering high-quality data analytics training sessions, creating course materials, and mentoring students to foster their learning and career growth. The instructor will also provide personalized feedback, track student progress, and help them develop strong foundational skills. Additionally, the role involves staying up-to-date with industry trends and integrating them into the curriculum to ensure relevance. The selected candidate will undergo an initial training in Bengaluru then have to move to Jaipur location

Senior Data Analyst – Digital Products (AI & Advanced Analytics)

Location: Bengaluru, India (Local Candidates Preferred)

Role Type: Individual Contributor

Experience: 6–10 years

BrandSafway is a leading provider of specialty services to North America's energy markets. Its extensive portfolio of specialized industrial service offerings includes scaffolding, coatings, insulation, refractory, forming & shoring, cathodic protection, mechanical services and other related crafts. The company also serves the infrastructure and commercial markets throughout North America and in strategic international regions. Brand operates in five key market segments: Upstream/Midstream, Downstream, Power Generation, Industrial and Infrastructure.

Role Overview

The Senior Data Analyst – Digital Products will lead advanced analytics and AI initiatives in close partnership with Sales and Growth stakeholders . This role applies statistical modeling, machine learning, and generative AI to solve complex commercial problems and enable scalable, data-driven digital capabilities.

Key Responsibilities

• Own complex analytics and AI initiatives supporting Sales and Growth objectives
• Design, build, and deploy machine learning models (predictive, classification, optimization)
• Develop and apply Generative AI / LLM solutions for comme

Location

The successful candidate shall be placed at Pune Location. It is a Full-time Job, “No” remote work. Data Engineer willing to work on a 12-month contract/full-time may apply.

Experience

Candidates should have experience between 3-6 years

Role Description

About the Role

We are looking for a skilled Data Analyst (DA AC) with strong experience in claims data and commercial datasets . The role involves hands-on analytics, building data-driven insights, and leading the development of analytical frameworks while working closely with a team of data scientists and analysts.

Key Responsibilities

• Lead the development and enhancement of analytical frameworks to solve business problems
• Perform hands-on analysis of claims data and commercial datasets
• Write and optimize SQL queries to answer complex business questions
• Use Python for data analysis, data manipulation, and modeling
• Apply basic machine learning algorithms for predictive and descriptive analytics
• Collaborate closely with data scientists, analysts, and business stakeholders
• Translate business requirements into analytical solutions and insights
• Ensure data accuracy, consistency, and quality across analyses

Terra Technology Circle Consulting Private Limited

4 days ago