100 Data Analytics jobs in Chennai
Data Analytics Expert
Posted 22 days ago
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Job Description
- Support ongoing data analytics activities by leveraging Microsofts ecosystem.
- Drive fast-track adoption of the following platforms/tools:
- Microsoft Fabric
- Power BI
- Power Automate
- Microsoft Copilot
- Collaborate with cross-functional teams to design and implement data solutions that meet business needs.
- Build scalable dashboards, data pipelines, and automation flows.
- Strong hands-on experience with Microsoft Fabric for data integration and analytics.
- Proficiency in creating insightful visualizations using Power BI .
- Experience designing automated workflows with Power Automate .
- Familiarity with Microsoft Copilot for enhancing productivity and analytics tasks.
- Ability to work independently and deliver high-quality results in a fast-paced environment.
Business Data Analytics Analyst

Posted 1 day ago
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Job Description
**A** **bout** **CITI**
Citi's mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. We have 200+ years of experience helping our clients meet the world's toughest challenges and embrace its greatest opportunities.
**About** **AIM** **:**
Analytics and Information Management (AIM) is a global community that is driving data driven transformation across Citi in multiple functions with the objective to create actionable intelligence for our business leaders. We are a fast-growing organization working with Citi businesses and functions across the world.
**What do** **we do** **:**
We simplify, streamline, and automate controls-strengthening our ability to prevent issues.
Control Automation Team automates manual controls through data driven capabilities using industry standard tools & techniques in collaboration with Business, Internal Audit, Internal Citi Risk and Control and Technology.
**Expertise** **Required:**
**Analytical Skills**
+ Proficient in Data analysis & Data patterns.
+ Good with formulating analytical methodology, identifying inconsistencies, anomalies & patterns with data.
+ Skillful in transforming data sets and performing quantitative& qualitative analysis.
+ Provide recommendations and generate actionable Business Insights.
+ Proficient with data manipulation and problem solving to effectively work with large datasets and drive actionable conclusions.
+ Very good exposure on understanding requirements from Business teams.
**Tools and Platforms**
+ Hands-on experience inSAS, SQL, Pythonand have strong RDBMS concepts.
+ Intermediate experience in Appian, Xceptor and Tableau
+ Proficient in MS Excel, PowerPoint, and VBA
_Nice to have_ - Experience one of the below technologies.
+ SAS on Mainframe
+ Workflow management tools like Jira, Confluence, Bit Bucket (Version Control) etc.
**Domain Skills**
Good understanding of
+ Banking Products (Wealth, Cards, Deposit, Loans & Insurance etc.)
**Functional Skills**
+ Business risk, controls, compliance, and data management.
_Nice to have_ - Knowledge of Finance Regulations, Understanding of Audit Process
**Soft Skills**
+ Should have good communication and inter-personal skills.
+ Mentoring junior members in the team
+ Ability to thrive in a dynamic and fast-paced environment.
+ Contribute to organizational initiatives in wide ranging areas including competency development, training, organizational building activities etc.
+ Proactive approach in solving problems and eye for details.
+ A strong team player
**Basic Qualifications**
+ Master's degree in information technology / Information Systems / Computer Applications / Engineering from a premier institute. BTech/B. E/MCA in Information Technology / Information Systems / Computer Applications.
+ _(Preferred)_ Postgraduate in - Masters in computers
+ 5 - 8 years of hands-on experience in developing codes on SAS, SQL, Python environment
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**Job Family Group:**
Decision Management
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**Job Family:**
Business Analysis
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**Time Type:**
Full time
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**Most Relevant Skills**
Please see the requirements listed above.
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**Other Relevant Skills**
For complementary skills, please see above and/or contact the recruiter.
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_Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law._
_If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review_ _Accessibility at Citi ( _._
_View Citi's_ _EEO Policy Statement ( _and the_ _Know Your Rights ( _poster._
Citi is an equal opportunity and affirmative action employer.
Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.
Sr Team Manager Credit Data Analytics

Posted 1 day ago
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Job Description
**Job Family Group:**
Finance
**Worker Type:**
Regular
**Posting Start Date:**
October 3, 2025
**Business unit:**
Finance
**Experience Level:**
Experienced Professionals
**Job Description:**
**Senior Team Manager- Credit Risk Data Analytics**
It is recognized that the size and complexity of Shell Trading & Supply (T&S) has increased substantially over the past few years and the expectations around risk management from a regulatory perspective have also shifted for Energy Trading. As a result, and also recognising the potential to unlock additional value from enhanced risk management of our trading activities, a strategic decision has been made to make a major investment over the next 3-4 years to strengthen the risk management capabilities of the organisation from a people, process, data and systems perspective in both the first and second lines of defence.
The **Credit Data Analytics** team within Credit focuses on the delivery of regular and ad hoc credit risk reporting and portfolio analytics to the commercial teams, the risk management teams and various other stakeholders such as the TSLT, EC and the production of risk information which will flow into external financial reporting.
This role relates to Trading & Supply division (T&S). Primary stakeholders are commercial teams, credit risk managers located in T&S hubs of London, Houston, Rotterdam, Dubai and Singapore. The role is focused on providing support for credit reporting and analytics activities globally.
**Principal Accountabilities:**
+ The candidate will be responsible to lead and manage a high performing team that supports the development and operations of global credit risk reporting activities within T&S, including working with IT and other organisations to resolve issues where they arise.
+ Develop and conduct credit risk analytics on both a pre- and post-deal basis; including, but not limited to, Potential Future Exposure (PFE), portfolio analytics, expected credit loss (ECL), credit value adjustment (CVA), credit reserves and cost of credit analysis.
+ **Combine business understanding with logical data modelling and process design skills to integrate new T&S businesses and enhanced activities into global operations.**
+ Ensure reporting and analytical tools have clear and appropriate documentation and controls.
+ Develop and enhance appropriate data visualisations to support the use of credit reporting and analytics - e.g. Spotfire, Power BI and/or other visualisation tools.
+ Understand the key ETRMs of T&S, with in-depth knowledge of how systems in their region interact with Risk systems and tools.
+ Train users on how to conduct analysis in tools developed and supported by Risk.
+ Provide support and direction to Risk colleagues.
+ Collaborate with and support Commercial / Credit / Market Risk / Valuation teams with production reporting, transformation projects and other ad-hoc requests.
**Technical/Experience Requirements for the role:**
+ 2-5 yrs of team management will be required for this role and a min. of 8 years of professional experience on the following requirements below:
+ Commodities Trading Risk Management
+ **Credit Risk Managment-** Strong knowledge of Credit Risk fundamentals required and a desire to develop knowledge in other risk areas, such as Market or Operational Risk, preferred.
+ Credit Risk concepts - ECL (Expected credit loss), Net Credit Exposure, PFE (Potential Future Exposure), Credit Reserves
+ Technical Skills - SQL Server, BI tools like PBI or Tableau
+ **Experience with advanced Excel, SQL, Alteryx and/or database knowledge desirable.**
+ Experience in data visualisation - Power BI, Spotfire, QlikSense or other, preferred.
+ Finance or Mathematics Degree preferred
+ CFA or GARP certificates preferred
+ Prior risk experience within **commodity markets** , such as LNG, Oil, Gas, Power and/or Carbon preferred.
+ **Exposure to the types of conceptual, quantitative and data challenges faced in a complex trading environment with multiple ETRM's and sources of data is preferred.**
+ Excellent attention to detail, methodical, organized and able to plan to meet deadlines.
+ Resilient when working under pressure, with the ability to prioritise tasks to meet deadlines
+ Self-starter, highly motivated, outcome driven.
+ Good judgement to provide advice, question discrepancies, escalate issues.
+ Learner mindset: innovative and creative, excellent problem-solving capabilities including the ability to analyse, model and interpret data.
+ Strong interpersonal and team working skills in order to communicate with various different stakeholders across Risk, IT and Commercial, all with varying needs.
**An Innovative place to work**
There's never been a more exciting time to work at Shell. Everyone here is helping solve one of the biggest challenges facing the world today: bringing the benefits of energy to everyone on the planet, whilst managing the risks of climate change.
Our business has been built on a foundation of innovative technology and skilled employees. By providing energy to sustain people's lives for more than a hundred years, Shell has become one of the world's leading companies.
Join us and you'll be adding your talent and imagination to a business with the ambition to shape the future. At Shell, everyone does their part.
**An Inclusive place to work**
Shell is working to become one of the most diverse, equitable, and inclusive organizations in the world. We are taking steps to create an environment where everyone - from our employees, to our customers, partners, and suppliers - feels valued, respected, and has a strong sense of belonging.
To achieve this, we must ensure all people are treated fairly, irrespective of their race, color, religion, age, gender, sexual orientation, gender identity, marital status, disability, ethnic origin, nationality, or other status.
To power progress together, we need to attract and develop the brightest minds and make sure every voice is heard. Here are just some of the ways we are nurturing an inclusive environment - one where you can express your ideas, extend your skills, and reach your potential.
We're closing the gender gap - whether that's through action on equal pay or by enabling more women to reach senior roles in engineering and technology.
We're striving to be a pioneer of an inclusive and diverse workplace, promoting equality for employees regardless of sexual orientation or gender identity.
We consider ourselves a flexible employer and want to support you finding the right balance. We encourage you to discuss this with us in your application.
**A rewarding place to work**
Combine our creative, collaborative environment and global operations with an impressive range of benefits and joining Shell becomes an inspired career choice.
We're huge advocates for career development. We'll encourage you to try new roles and experience new settings. By pushing people to reach their potential, we frequently help them find skills they never knew they had, or make career moves they never thought possible.
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**DISCLAIMER:**
Please note: We occasionally amend or withdraw Shell jobs and reserve the right to do so at any time, including prior to the advertised closing date. Before applying, you are advised to read our data protection policy. This policy describes the processing that may be associated with your personal data and informs you that your personal data may be transferred to Shell/Shell Group companies around the world. The Shell Group and its approved recruitment consultants will never ask you for a fee to process or consider your application for a career with Shell. Anyone who demands such a fee is not an authorised Shell representative and you are strongly advised to refuse any such demand. Shell is an Equal Opportunity Employer.
You can be a part of the future of energy. Together at Shell, we are transitioning to become a net-zero emissions business while providing the energy that people around the world need today. Working with experienced colleagues , you'll have the opportunity to develop your skills, in an environment where we value honesty, integrity and respect for one another. At Shell, you progress as we tackle the energy challenge together.
#PowerYourProgress
**Visit our careers site ( has a bold goal: to become one of the world's most diverse and inclusive companies, a place where everyone - from our employees to our customers, partners and suppliers - feels valued, respected, and has a strong sense of belonging.
Find out more about DE&I at Shell ( is a global group of energy and petrochemical companies, employing 96,000 people across more than 70 countries.
Whether they work on our platforms and pipelines, or in our offices and research labs, people are key to our success. They collectively determine our culture and we expect them to behave according to our values: honesty, integrity, and respect for people.
Learn more about our purpose and strategy ( **_If you need any assistance or support while applying for a job, please contact us at_** ** ** _"_
Senior Data Analysts & Data Analytics Lead/Manager
Posted 2 days ago
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Job Description
Senior Business Analyst & Data Analytics-Assistant Vice President

Posted 1 day ago
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Job Description
**Key Responsibilities:**
+ **Requirements Elicitation & Analysis:** Lead and facilitate workshops, interviews, and other techniques to gather, analyze, and document complex business requirements from various stakeholders across BFSI domains. Translate high-level business objectives into detailed functional and non-functional specifications for data analytics and regulatory reporting solutions.
+ **Data Analytics Strategy & Implementation:** Collaborate with data engineers, and other technical teams to design, develop, and implement data analytics solutions, dashboards, and reports that provide actionable insights to business users. Define data requirements, data sources, data transformations, and data quality standards.
+ **Regulatory Reporting Expertise:** Possess in-depth knowledge of BFSI regulatory frameworks (e.g., Basel III, CCAR, Dodd-Frank, MiFID II, Solvency II, IFRS 9, BCBS 239) and reporting requirements. Drive the analysis, interpretation, and implementation of new and updated regulatory mandates, ensuring accurate and timely submission of reports.
+ **Stakeholder Management & Communication:** Act as a primary liaison between business units (e.g., Risk, Finance, Compliance, Operations) and IT teams. Clearly communicate complex technical concepts to non-technical stakeholders and translate business needs into technical specifications.
+ **Project Leadership & Mentorship:** Provide guidance and mentorship to junior business analysts. Contribute to project planning, scope definition, and risk management. Drive best practices in business analysis and data governance.
+ **Testing & Quality Assurance:** Define test strategies and cases for data analytics and regulatory reporting solutions. Collaborate with QA teams to ensure solutions meet business requirements, data accuracy, and regulatory compliance.
+ **Process Improvement:** Identify opportunities for process optimization and automation within data analytics and regulatory reporting workflows.
**Qualifications:**
+ Bachelor's or Master's degree in Finance or Computer Science or a related quantitative field.
+ **8 - 12 years of progressive experience as a Business Analyst, specifically within the BFSI sector.**
+ **Demonstrable expertise in Data Analytics, including experience with data modeling, data warehousing, business intelligence tools (e.g., Tableau, Power BI, QlikView), and SQL.**
+ **Extensive hands-on experience with BFSI Regulatory Reporting, understanding of key regulations, and the full lifecycle of regulatory report generation and submission.**
+ Strong understanding of financial products, markets, and banking operations.
+ Proven ability to gather, analyze, and document complex business requirements.
+ Experience with Agile methodologies (Scrum, Kanban).
+ Excellent communication (written and verbal), interpersonal, and presentation skills.
+ Strong analytical, problem-solving, and critical thinking abilities.
+ Ability to work independently and as part of a cross-functional team.
+ Certifications such as CBAP, PMI-PBA, FRM, or relevant data analytics certifications are a plus.
**Education:**
+ Bachelor's/University degree or equivalent experience
This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
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**Job Family Group:**
Technology
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**Job Family:**
Data Analytics
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**Time Type:**
Full time
---
**Most Relevant Skills**
Please see the requirements listed above.
---
**Other Relevant Skills**
For complementary skills, please see above and/or contact the recruiter.
---
_Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law._
_If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review_ _Accessibility at Citi ( _._
_View Citi's_ _EEO Policy Statement ( _and the_ _Know Your Rights ( _poster._
Citi is an equal opportunity and affirmative action employer.
Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.
Data Science
Posted 20 days ago
Job Viewed
Job Description
Greetings from Colan Infotech!
Role - Data Scientist
Experience - 6+ Years
Job Location - Chennai
Notice Period - Immediate to 30 Days
Primary Skills Needed : AI/ML, Tensorflow, Django, Pytorch, NLP, Image processing,Gen AI,LLM
Secondary Skills Needed : Keras, OpenCV, Azure or AWS
Job Description:-
- Practical knowledge and working experience on Statistics and Operation Research methods.
- Practical knowledge and working experience in tools and frameworks like Flask, PySpark, Pytorch, tensorflow, keras, Databricks, OpenCV, Pillow/PIL, streamlit, d3js, dashplotly, neo4j.
- Good understanding of how to apply predictive and machine learning techniques like regression models, XGBoost, random forest, GBM, Neural Nets, SVM etc.
- Proficient with NLP techniques like RNN, LSTM and Attention based models and effectively handle readily available stanford, IBM, Azure, Open AI NLP models.
- Good understanding of SQL from a perspective of how to write efficient queries for pulling the data from database.
- Hands on experience on any version control tool (github, bitbucket). Experience of deploying ML models into production environment experience (MLOps) in any one of the cloud platforms like Azure and AWS
- Comprehend business issues and propose valuable business solutions.
- Design Factual or AI/profound learning models to address business issues.
- Design Statistical Models/ML/DL models and deploy them for production.
- Formulate what information is accessible from where and how to augment it.
- Develop innovative graphs for data comprehension using d3js, dashplotly and neo4j
Data Science
Posted 20 days ago
Job Viewed
Job Description
Greetings from Colan Infotech!
Role - Data Scientist
Experience - 6+ Years
Job Location - Chennai/Bangalore
Notice Period - Immediate to 30 Days
Primary Skills Needed : AI/ML, Tensorflow, Django, Pytorch, NLP, Image processing,Gen AI,LLM
Secondary Skills Needed : Keras, OpenCV, Azure or AWS
Job Description:-
- Practical knowledge and working experience on Statistics and Operation Research methods.
- Practical knowledge and working experience in tools and frameworks like Flask, PySpark, Pytorch, tensorflow, keras, Databricks, OpenCV, Pillow/PIL, streamlit, d3js, dashplotly, neo4j.
- Good understanding of how to apply predictive and machine learning techniques like regression models, XGBoost, random forest, GBM, Neural Nets, SVM etc.
- Proficient with NLP techniques like RNN, LSTM and Attention based models and effectively handle readily available stanford, IBM, Azure, Open AI NLP models.
- Good understanding of SQL from a perspective of how to write efficient queries for pulling the data from database.
- Hands on experience on any version control tool (github, bitbucket). Experience of deploying ML models into production environment experience (MLOps) in any one of the cloud platforms like Azure and AWS
- Comprehend business issues and propose valuable business solutions.
- Design Factual or AI/profound learning models to address business issues.
- Design Statistical Models/ML/DL models and deploy them for production.
- Formulate what information is accessible from where and how to augment it.
- Develop innovative graphs for data comprehension using d3js, dashplotly and neo4j
Interested candidates send updated resume to
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Director Data Science
Posted 1 day ago
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Director Data Science – (AI/ML, GenAI & BFSI Focus)
From vision to enterprise impact — lead the future of AI innovation.
Location: Chennai, India
Experience: 13–15 years in Data Science/AI/ML (with strong BFSI or other data-rich industry expertise) We’re seeking trailblazers who go beyond building models — leaders who drive AI strategy, GenAI adoption, agentic automation, and enterprise-scale transformation with measurable business outcomes.
Role Overview
As a Principal Data Scientist, you will set the direction for AI/ML innovation, embedding Generative AI and Agentic AI systems into BFSI solutions that transform how enterprises operate. You’ll collaborate with executive stakeholders, mentor high-performing teams, and translate cutting-edge research into enterprise-ready AI platforms that deliver measurable ROI.
What makes you right for the role?
- Strategic AI & GenAI Leadership – Define and drive enterprise AI/ML roadmaps, including adoption of LLMs, multi-agent systems, and AI copilots aligned to business priorities.
- Agentic AI & Automation – Architect and deploy agentic workflows for decisioning, customer engagement, fraud detection, and operational intelligence.
- Advanced Modeling & GenAI Expertise – Lead development of scalable ML and GenAI solutions across fraud detection, customer intelligence, risk modeling, hyper-personalization, and intelligent document processing.
- Productization at Scale – Translate AI/GenAI research into robust, production-grade systems , ensuring security, compliance, and business value.
- Responsible AI & Governance – Partner with senior stakeholders to design responsible, explainable AI frameworks ensuring fairness, compliance, and trust.
- Thought Leadership – Represent Crayon in client workshops, industry forums, and innovation showcases, shaping the narrative of applied AI and Agentic in BFSI.
- Team & Innovation Leadership – Mentor senior data scientists, lead cross-functional teams, and champion best practices in MLOps, GenAIOps, and applied AI innovation.
The person you are
- Advanced degree (Master’s/PhD) in Machine Learning, AI, Computer Science, Applied Math, or Statistics.
- 11–13 years of proven experience applying ML/AI at scale, ideally in BFSI or similar data-rich, regulated industries.
- Deep expertise in Python, ML/GenAI frameworks (TensorFlow, PyTorch, Hugging Face, LangChain, LlamaIndex), and cloud platforms (AWS, Azure, GCP).
- Strong track record in AI strategy, GenAI adoption, and agentic automation with measurable ROI.
- A visionary mindset with passion for experimentation, innovation, and building next-gen AI ecosystems.
- Chennai-based, with flexibility to travel for client and global team collaborations.
Manager - Data Science
Posted 202 days ago
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Job Description
Data Analyst - Product Analytics
Posted 6 days ago
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Job Description
Role: Data Analyst - Product Analytics
Job Description
4+ years of experience in data analytics with at least 2 years in product analytics.
* Proficiency in SQL and Python for data analysis; strong understanding of experimentation methods and causal inference.
* Experience working with Azure Data Services and Databricks (or equivalent cloud-based platforms).
* Expertise in building compelling, user-friendly dashboards in Power BI.
* Strong communication skills and ability to influence cross-functional stakeholders.
* Passionate about solving customer problems and improving products through data.