Business Analytics Senior Analyst

Cigna Healthcare is dedicated to improving the health and vitality of those they serve. As a Business Analytics Senior Analyst, you will serve as a strategic analytics partner helping shape healthcare decisions through advanced analytics, artificial intelligence, and medical data.

Responsibilities:

• Lead advanced analytics initiatives using machine learning, statistical modeling, and AI to support clinical products, population health, and enterprise strategy
• Design and execute analytically sound studies, including cohort, case-control, and cross-sectional analyses, using medical and pharmacy claims and clinical data
• Develop scalable analytical pipelines and reusable assets using Python, R, SQL, Databricks, and Teradata
• Integrate clinical, financial, and operational healthcare data to generate actionable, decision-ready insights
• Apply working knowledge of medical coding systems (CPT, HCPCS, ICD-10, LOINC) to ensure accurate interpretation and clinical relevance
• Collaborate with Data Engineering and Platform teams to advance data standards, analytic best practices, and analytics enablement
• Translate complex analytical findings into clear, executive-ready insights through compelling data storytelling
• Serve as a trusted analytics advisor to Product, Clinical, Operations, Finance, and Account partners

Requirements:

• Minimum of 3–5 years of progressively responsible experience in advanced analytics, healthcare analytics, or data science roles
• Hands-on experience with SQL and large-scale data platforms such as Teradata and Databricks
• Proficiency in Python and/or R for analytics, modeling, and data manipulation
• Strong understanding of healthcare data structures, including medical and pharmacy claims
• Experience applying statistical, epidemiologic, or machine learning methods to real-world healthcare problems
• Ability to communicate analytical concepts, assumptions, and findings clearly to both technical and non-technical audiences
• Bachelor's degree in Analytics, Data Science, Public Health, Epidemiology, Biostatistics, Computer Science, or a related field
• Healthcare, payer, PBM, or life sciences industry experience
• Experience with machine learning frameworks and AI-driven analytics, including exposure to NLP or large language models
• Familiarity with clinical grouping tools such as Symmetry
• Demonstrated success working in fast-paced, evolving, and data-driven environments