Business Analytics Advisor, Learning & Knowledge Management Analytics – Evernorth – Remote

The job profile for this position is Business Analytics Advisor, which is a Band 4 Senior Contributor Career Track Role.

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We value our talented employees, and whenever possible strive to help one of our associates grow professionally before recruiting new talent to our open positions. Our people make all the difference in our success.

The Client & Customer Experience (C&CE) organization is responsible for the servicing of Cigna customers across multiple lines of business. Within C&CE, the Learning & Knowledge Management arm of Operational Excellence supports the capabilities, tools, and information employees need to serve customers accurately and effectively.

The Business Analytics Advisor works within an analytics team that supports Learning & Knowledge Management by delivering high-quality analytics, trusted data, and lightweight digital solutions. This is a hands‑on role for a strong analyst who can also build practical data ingestion and transformation processes and develop fit‑for‑purpose web applications that replace manual tracking and fragmented workflows.

In this role, the Business Analytics Advisor works from priorities and requirements established by the Product Owner, then translates those needs into reliable datasets, analyses, reporting solutions, and digital tools. The role partners closely with Learning, Knowledge Management, Operational Excellence, Operations, and technology teams to improve learner readiness, knowledge effectiveness, and operational performance.

This is a fully remote opportunity for candidates in select geographies. Candidates who reside within 50 miles of the following locations will be required to perform onsite 3 days per week:
Bloomfield, CT;
Chattanooga, TN;
Denver, CO;
Scottsdale, AZ.;
St. Louis, MO.

• Leverage data to answer business questions related to learning, readiness, knowledge utilization, adoption, and operational performance
• Combine learning, workforce, quality, knowledge, and operational data to identify trends, drivers, gaps, and opportunities
• Develop analyses that connect learning experiences and knowledge usage to downstream outcomes such as proficiency, quality, customer experience, handle time, and escalation behavior
• Define, calculate, validate, and document metrics that support learner journeys, cohort comparisons, readiness milestones, trainer effectiveness, and learning return on investment
• Communicate findings through concise written summaries, visualizations, and recommendations tailored to business partners

• Design, build, and maintain repeatable data ingestion and ETL processes that bring together information from learning platforms, knowledge tools, operational systems, and structured manual sources
• Use SQL and Python or similar scripting tools to clean, transform, join, and prepare data for analysis and reporting
• Create reusable, well‑structured datasets and data models that support consistent metrics, scalable reporting, and future self‑service analytics
• Perform validation, reconciliation, testing, and monitoring to ensure data is accurate, complete, and reliable
• Document source‑to‑target logic, transformations, metric definitions, dependencies, and known limitations to support maintenance and reuse

• Design, build, and maintain dashboards, recurring reporting, and self‑service views that support Learning & Knowledge leaders and operational partners
• Create clear views of learner profiles, learning journeys, readiness milestones, knowledge‑to‑performance impact, and technology adoption
• Support ad hoc analysis while converting recurring needs into standardized datasets, queries, or automated solutions
• Contin…