Data Analytics Advisor, C&CE - Evernorth - Remote

The Cigna Group

1d•$98,200 - $163,600•Hybrid

About The Position

The Client & 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 Coverage Review Operations (CRO) organization supports the execution of Prior Authorizations for the enterprise, ensuring members receive the appropriate treatment as efficiently and cost effectively as possible. The Data Analyst Advisor works within an analytics team that provides dedicated support to CRO 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 Data Analytics 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 Data 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.

Requirements

Bachelor’s degree in analytics, statistics, mathematics, economics, computer science, business, or a related field preferred
Two years of relevant experience in data analytics, reporting, or business intelligence roles
Advanced proficiency in SQL and Python- 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

Nice To Haves

Experience in Prior Authorization, Utilization Management, customer service, or client service analytics
Proficiency in scripting or analytical language such as PySpark
Experience working with large or enterprise scale data platforms (e.g., Teradata, Oracle, SQL Server, Databricks)
Familiarity with Agile delivery models and work management tools (e.g., Jira)
Healthcare, insurance, or PBM industry experience

Responsibilities

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
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
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
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
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