Data Science Lead Analyst - Cigna Healthcare

Cigna Healthcare; Bengaluru; On-site; INR 2,000,000 - 3,800,000; Full time

Job summary

Cigna Healthcare, a division of The Cigna Group, is seeking a Lead Data Analyst to join the Data Science and AI Engineering team in Bangalore. You will drive end-to-end analytics projects, transform business questions into data-driven solutions, and collaborate with product owners, data scientists, and data engineers to deliver AI-enabled insights and data products.

The role requires 4+ years in technical analytics, proficiency in Python/SQL, cloud platforms (AWS), and experience with AI/ML

Qualifications

• 4+ years’ experience in a technical analytics environment, carrying out data analytics and data science/machine learning.
• Hands-on Python for data analysis and modeling.
• Experience working with SQL and NoSQL databases.
• Experience in cloud-based data and analytics platforms, preferably AWS and Databricks, including services such as SageMaker, Athena, or equivalent.
• Good understanding of Foundation Models, including capabilities, limitations, risk considerations, and enterprise usage patterns.
• Hands-on experience with prompt engineering and agent engineering, supporting analytics workflows, RAG-based solutions, insight generation, or decision-support use cases.
• Coding and modelling experience in SQL / R / Python and / or big data platforms.
• Experience in visualization and data management tools an added advantage.
• Experience working with complex datasets.
• Attention to detail & drive for continuous improvement.
• Participation in external data hackathons and competitions will be an added advantage.

Responsibilities

• Partner with Product Owners and domain stakeholders to understand business challenges, and recommend appropriate analytical approaches.
• Operate effectively within an agile operating model, collaborating in cross-functional squads, contributing to sprint planning, backlog refinement, and iterative delivery of analytics and data products.
• Contribute to the responsible application of Agentic AI by designing, building, and maintaining domain‑aligned knowledge bases for RAG and explainable insights.
• Design, curate, and maintain high‑quality data products by managing critical data elements for analytics and AI use cases.
• Track, quantify, and communicate the business value and impact of deployed analytics and AI-enabled data products.
• Collaborate with Data Eng and Cloud Eng to align data ingestion, enrichment, and availability using internal and external healthcare data.
• Provide support to help business understand and optimize use of analytical products.
• Build industry knowledge on advancements in data science and analytics.

Skills

Python for data analysis

SQL

NoSQL

AWS

Databricks

SageMaker

R

Prompt engineering

Agent engineering

Data visualization

Education

Data Science / Statistics / CS degree

Tools

Athena

Job description

Job Objective

We are seeking a data-driven and analytically minded professional to join the Data Science and AI Engineering team within International Health, Cigna Healthcare. Our team designs and delivers high-impact descriptive and predictive analytics and agentic AI solutions to address complex challenges across global and local healthcare markets.

Lead Data Analyst IM D&A

Job Role: Lead Data Analyst

Location: Bangalore, India

Job Objective

We are seeking a data-driven and analytically minded professional to join the Data Science and AI Engineering team within International Health, Cigna Healthcare. Our team designs and delivers high-impact descriptive and predictive analytics and agentic AI solutions to address complex challenges across global and local healthcare markets.

This is a technical role that delivers quality end-to-end analytical support across multiple D&A use case projects of Cigna International Markets. The role of the Data Analyst is to also work as a member of the IM D&A team and with stakeholders and, transform business questions and issues into data driven analytical solutions.

• Key stakeholders will include: direct team members (Data Scientists, Product Owners/Managers, Analytics leaders, Data Engineers, IT Engineers and Data Governance specialists) and key business stakeholders.

Key Responsibilities

• Partner with Product Owners and domain stakeholders to understand business challenges, and recommend appropriate analytical approaches
• Operate effectively within an agile operating model, collaborating in cross-functional squads, contributing to sprint planning, backlog refinement, and iterative delivery of analytics and data products
• Contribute to the responsible application of Agentic AI by designing, building, and maintaining domain‑aligned knowledge bases that enable Retrieval‑Augmented Generation (RAG), agent‑assisted analytics, and high‑quality, explainable insight generation.
• Design, curate, and maintain high‑quality data products by identifying and managing critical data elements (CDEs), ensuring data completeness, accuracy, consistency, and fitness for advanced analytics and AI-driven use cases
• Track, quantify, and communicate the business value and impact generated by deployed analytics and AI-enabled data products
• Work with Data Engineering and Cloud Engineering teams to stay aligned on data ingestion, enrichment, and availability, leveraging both first- and third-party healthcare and provider data
• Active team member in providing the required support to help business understand and optimise use of analytical products and / or solutions
• Build industry knowledge on the advancements in the field of data science and analytics
• Comply with the IM Cigna and CHSI Policies, procedures and processes, and continuously demonstrate Cigna DNA culture.

Key activities

• Working in a team to support end-to-end analytical projects
  • Liaising with stakeholders to determine objectives / scope of upcoming projects
  • Data exploration, cleansing and manipulation
  • Determining appropriate type of analysis and undertaking analysis
  • Clear presentation of insights via spreadsheets, PowerPoint presentations, self-service analytical visualisation tools
  • Ongoing stakeholder interaction (internal and external as required) on project progress
  • Contribute to the Feedback process (between stakeholders and the team) to ensure continuous improvement with team
• Participate and contribute in learning forums and sharing knowledge with wider team

Experience And Education Required

• 4+ years’ experience in a technical analytics environment, carrying out data analytics and data science/machine learning
• Tertiary education in Data Science, Statistics, Computer Science, Engineering, or related disciplines
• Hands‑on experience with Python for data analysis and modeling
• Experience working with SQL and NoSQL databases
• Experience in cloud‑based data and analytics platforms, preferably Amazon Web Services (AWS) and Databricks, including services such as SageMaker, Athena, or equivalent
• Good understanding of Foundation Models, including their capabilities, limitations, risk considerations, and appropriate enterprise usage patterns
• Hands‑on experience with prompt engineering and agent engineering, supporting analytics workflows, RAG‑based solutions, insight generation, or decision‑support use cases
• Coding and modelling experience in SQL / R / Python and / or big data platforms
• Experience in visualization and data management tools an added advantage
• Experience working with complex datasets
• Attention to detail & drive for continuous improvement
• Participation in external data hackathons and competitions will be an added advantage

About The Cigna Group

Cigna Healthcare, a division of The Cigna Group, is an advocate for better health through every stage of life. We guide our customers through the health care system, empowering them with the information and insight they need to make the best choices for improving their health and vitality. Join us in driving growth and improving lives.