POSITION SUMMARYThe 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. Analytics & Data AnalysisLeverage data to answer business questions related to learning, readiness, knowledge utilization, adoption, and operational performanceCombine learning, workforce, quality, knowledge, and operational data to identify trends, drivers, gaps, and opportunitiesDevelop analyses that connect learning experiences and knowledge usage to downstream outcomes such as proficiency, quality, customer experience, handle time, and escalation behaviorDefine, calculate, validate, and document metrics that support learner journeys, cohort comparisons, readiness milestones, trainer effectiveness, and learning return on investmentCommunicate findings through concise written summaries, visualizations, and recommendations tailored to business partners Data Ingestion, Transformation & QualityDesign, build, and maintain repeatable data ingestion and ETL processes that bring together information from learning platforms, knowledge tools, operational systems, and structured manual sourcesUse SQL and Python or similar scripting tools to clean, transform, join, and prepare data for analysis and reportingCreate reusable, well-structured datasets and data models that support consistent metrics, scalable reporting, and future self-service analyticsPerform validation, reconciliation, testing, and monitoring to ensure data is accurate, complete, and reliableDocument source-to-target logic, transformations, metric definitions, dependencies, and known limitations to support maintenance and reuse Reporting & VisualizationDesign, build, and maintain dashboards, recurring reporting, and self-service views that support Learning & Knowledge leaders and operational partnersCreate clear views of learner profiles, learning journeys, readiness milestones, knowledge-to-performance impact, and technology adoptionSupport ad hoc analysis while converting recurring needs into standardized datasets, queries, or automated solutionsContinuously enhance existing solutions to improve clarity, usability, performance, and maintainability Process Digitization & Lightweight SolutionsBuild and maintain lightweight web applications, forms, or workflow tools that replace manual processes used to group employees, track learning activity, capture readiness information, or manage other operational dataTranslate Product Owner-defined requirements into simple, usable solutions with appropriate data storage, business rules, validation, and outputPrototype quickly, test with end users, and refine solutions based on usability, data quality, and business valueIdentify recurring manual activity that can be standardized, automated, or digitized without introducing unnecessary complexityPartner with technology, engineering, security, and platform teams when a solution requires enterprise integration, production support, or capabilities beyond a lightweight application Collaboration & CommunicationWork closely with the Product Owner, Learning, Knowledge Management, Operational Excellence, Operations, and analytics partners to deliver prioritized solutionsParticipate in planning, refinement, testing, demonstrations, and release activities using an Agile delivery approachExplain technical choices, data limitations, and analytical results in straightforward business languageBalance speed and practicality with appropriate standards for security, governance, data quality, and maintainability Basic QualificationsBachelor’s degree in analytics, statistics, mathematics, economics, computer science, information systems, business, or a related