Business Analytics Lead Analyst - Cigna Healthcare

The Senior Business Intelligence and Analytics lead analyst leads the design, development, testing, and implementation of complex operational analytics and insight solutions. The role partners with business leaders and cross-functional stakeholders to clarify ambiguous requirements, determine the appropriate analytical approach, and translate data into actionable recommendations.

The role is accountable for delivering sustainable solutions across multiple data sources, improving reporting and analytical processes, and providing analytical guidance within assigned workstreams. The successful candidate will combine strong technical capability with business knowledge, stakeholder influence, and end-to-end ownership.

Lead medium to complex analytics initiatives from requirements definition through development, testing, implementation, and post-delivery review.

Independently interpret and refine ambiguous business requirements and recommend the most appropriate analytical approach.

Design sustainable solutions using multiple static and dynamic data sources while managing data-quality limitations and technical dependencies.

Translate complex analysis into actionable insights, recommendations, and clearly articulated business implications.

Partner directly with senior operational, clinical, payment integrity, performance-improvement, and technology stakeholders.

Facilitate alignment when stakeholders have competing requirements, priorities, or definitions.

Own the quality, accuracy, documentation, and timely delivery of assigned analytics workstreams.

Establish or improve analytical controls, testing practices, metric definitions, and reporting governance.

Identify and lead automation and process-improvement opportunities, including measurement of expected and realized benefits.

Proactively communicate delivery risks, assumptions, limitations, and dependencies to business and management stakeholders.

Review analytical outputs and provide technical or methodological guidance to other analysts.

Balance complex project delivery with critical BAU reporting and urgent operational priorities.

• Design and devise solution for small to complex BI delivery projects, including identifying static (e.g. Excel/Access) and dynamic (e.g. SQL, Oracle) data sources, alignment to business requirements, gaps in available processes and data, best path forward to delivery BI/ analytics/ insights to business leveraging existing tools/ capabilities with sustainable solutions.
• Comfortable building sustainable yet tactical solutions in spite of lack of enterprise solutions with offline and online data sources while working with technology for “end state” solutions
• Proactively identify efficiency opportunities in existing business as usual reporting/ ad hoc reporting and implement automated solutions demonstrating time and productivity gains.

• Knowledge/ prior experience of Operations, Health Insurance strongly preferred with demonstrated experience in driving operational metric reporting/MIS and improvements while working directly with internal and external customers
• Ability to interpret data to understand key drivers for results and principal factors leading to the numbers and impact of a metric on other functions.

• Knowledge/ prior experience of Operations, Health Insurance.
• Senior leadership communication skills.
• Adaptability, multitasking without impacting quality, ability to handle pressure, changing priorities.

• Bachelor’s degree in Computer Information Systems, Business Administration, or equivalent is preferred
• 5+ years of experience preferably in Health insurance industry.
• Must have strong Qlikview, Qliksense, SQL, Excel, and Microsoft Access experience.
• Must possess strong organizational, problem solving and analytical skills.
• Strong, clear and concise written and oral communication skills.
• Demonstrated experience leading complex or cross-functional analytics deliverables.
• Ability to work and help promote change within the department and across networks effectively.
• Experience integrating, reconciling, and interpreting information from multiple data sources.
• Demonstrated ability to translate business problems into analytical solutions and actionable recommendations.
• Strong stakeholder-management skills, including experience presenting complex information to senior audiences.
• Ability to operate independently when requirements, data, or ownership are not fully defined.
• Experience establishing reporting controls, metric definitions, testing approaches, or analytical governance.
• AWS (Amazon Web services) experience is a PLUS.
• Microsoft SharePoint skills and experience are PLUS.
• SAS experience is a PLUS.
• Experience using AI, Generative AI, or machine learning-enabled tools to support data analysis, reporting, process improvement, or automation is a PLUS.