Business Analytics Advisor, C&CE Workforce Management - Evernorth - Remote

POSITION SUMMARY

The Client and Customer Experience (C&CE) team is responsible for the servicing of Cigna customers across multiple lines of business, including US Employer, Pharmacy Benefit Services, Individual and Family Plans, and more. C&CE owns the delivery of exceptional customer and client experiences. Within C&CE, the Workforce Management team supports staffing and scheduling across the enterprise, ensuring our phone calls are answered, authorizations are completed and clients are onboarded in timely and efficient manner. The Business Analyst Advisor works within an analytics team that provides support to Workforce Management by delivering high‑quality analytics, reporting, and insights that enable effective operational decision‑making and performance management across multiple lines of business.

In this role, the Business Analyst Advisor partners closely with operations leaders, business analysts, and other stakeholders to translate business requirements into trusted datasets, dashboards, and analyses that inform day‑to‑day execution, near‑term improvement efforts, and long-term strategy. The Business Analyst Advisor is a hands‑on analytics expert—deeply focused on data extraction, metric development, reporting, and analytical rigor. Advisors are subject‑matter experts in their data domains and are relied upon as a trusted source of truth for C&CE performance insights.

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; St Louis, MO; and Scottsdale, AZ.     

PRIMARY FUNCTIONS

Analytics & Data Analysis

• Leverage data to answer business questions by identifying data needs, extracting data from relevant sources, and performing detailed analysis
• Use technical expertise (e.g., SQL, Python, PySpark) and analytical tools to explore operational data, identify trends, drivers, and outliers, and explain performance outcomes
• Support testing and monitoring efforts by defining metrics, tracking performance indicators, and identifying emerging issues

Reporting & Visualization

• Design, build, and maintain standardized reports and dashboards that support C&CE operational reviews and decision ‑making
• Enable self-service analytics by creating clear, ‑well-structured‑ reporting solutions using business intelligence tools including novel AI technologies
• Continuously enhance existing reports to improve clarity, usability, performance, and insight generation

Data Quality & Foundations

• Ensure data accuracy, consistency, and reliability through validation, reconciliation, and quality checks
• Develop and maintain documentation for datasets, metrics, and reporting logic to support transparency and reuse
• Partner with data engineering and platform teams to improve data availability, structure, and scalability

Operational Support & Automation

• Respond to ad hoc analytical requests while identifying opportunities to standardize or automate recurring analyses
• Build repeatable queries, scripts, and datasets to reduce manual effort and improve turnaround time
• Support ongoing operational performance management through KPI tracking and recurring analytics deliverables

Collaboration & Communication

• Partner closely with cross functional stakeholder groups to align analytics outputs with business needs
• Communicate insights clearly through written summaries, visuals, and verbal explanations tailored to operational audiences
• Provide guidance and analytical expertise on recurring data questions and reporting challenges

BASIC QUALIFICATIONS

• Bachelor’s degree in analytics, statistics, mathematics, economics, computer science, business, or a related field
• Two years of relevant experience in data analytics, reporting, or business intelligence roles
• Advanced proficiency in SQL, including complex joins, subqueries, and performance optimization
• Experience with business intelligence and data visualization tools (e.g., Tableau, Power BI)
• Strong analytical and problem-solving‑ skills with the ability to explain complex data clearly
• Excellent written and verbal communication skills

PREF