Jobs / India / Cigna Health And Life Insurance Company
Data Science Lead Analyst - Cigna Healthcare
Cigna Health And Life Insurance Company · 🌍 IND Bengaluru
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About the role
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,