Business Analytics Lead Analyst - Remote

Cigna Healthcare is dedicated to improving the health and vitality of those they serve. As a Business Analytics Lead Analyst, you will connect business strategy with advanced analytics, helping leaders make informed decisions and identify new opportunities to improve care, performance, and value.

Responsibilities:

• Partner with clinical, operational, product, and business stakeholders to define high-impact analytics opportunities aligned to strategic priorities
• Translate complex business questions into clear analytic problem statements, measurement plans, and actionable recommendations
• Analyze large healthcare claims and related data sources to identify trends, opportunities, risks, and drivers of business performance
• Lead program evaluations and outcome studies using descriptive, predictive, and causal analytic methods
• Define success metrics and measurement strategies that demonstrate business and customer impact
• Synthesize findings into clear, executive-ready insights that influence decisions and drive action
• Collaborate across analytics teams to ensure high-quality, timely delivery of projects and business outcomes
• Identify innovative approaches, scalable best practices, and emerging analytic methods that improve efficiency and effectiveness
• Stay current on advancements in analytics, healthcare research, statistical methodologies, and technology

Requirements:

• 3+ years of experience in healthcare analytics, business analytics, data science, health services research, or a related field
• Experience working with healthcare claims data or other complex healthcare datasets
• Proficiency in SQL and at least one statistical programming language such as Python or R
• Knowledge of statistical analysis, predictive modeling, program evaluation, or causal inference methodologies
• Strong analytical, critical thinking, and problem-solving skills
• Ability to communicate complex findings to both technical and non-technical audiences
• Ability to manage multiple priorities and work effectively in a fast-paced, collaborative environment
• Advanced degree in Analytics, Statistics, Mathematics, Economics, Public Health, Data Science, or a related field
• Experience designing quasi-experimental studies, difference-in-differences analyses, or other evaluation frameworks
• Familiarity with machine learning, data mining, and advanced healthcare analytics techniques
• Experience influencing business strategy through data-driven insights