Data Measurement & Reporting Advisor - Evernorth - Remote

The Cigna Group•Bloomfield, CT

1d•$96,700 - $161,100•Remote

About The Position

The Data Measurement & Reporting Advisor supports Data Management & Reporting within DS&I, turning complex data into clear insights that help leaders make informed decisions and improve operational performance. The role builds trusted analytics, addresses challenging data questions, and supports decisions through collaboration, curiosity, and continuous improvement. The position designs standardized performance analytics aligned with DS&I priorities and enterprise goals; creates measurement frameworks, data definitions, and reporting methods; and develops and automates Tableau dashboards. It partners with business leaders to define questions, translate needs into analytical solutions, and measure results. The advisor analyzes trends, risks, opportunities, and performance drivers; validates and investigates data using advanced SQL; and applies SAS, Altair, or Python to prepare data, automate work, and solve analytical problems. The role also resolves reporting, data quality, and measurement issues with IT and cross-functional teams, delivers executive-ready reporting with practical next steps, and creates reusable templates and documentation. It independently manages priorities, meets commitments, and builds trusted stakeholder relationships. Candidates who live within 50 miles of Bloomfield, Connecticut; Chattanooga, Tennessee; Denver, Colorado; St. Louis, Missouri; or Scottsdale, Arizona may be asked to work in person. For employees working from home occasionally or permanently, internet service must be cable broadband or fiber optic with speeds of at least 10 Mbps download and 5 Mbps upload. The anticipated annual salary is $96,700–$161,100, depending on relevant factors including experience and geographic location; the role is also anticipated to be eligible for an annual bonus plan.

Requirements

At least 5 years of hands-on experience in analytics, business intelligence, reporting, or another data-focused field.
Advanced Tableau experience, including personally designing and developing dashboards and visual analytics solutions.
Advanced SQL skills, including complex queries, data validation, troubleshooting, and analysis across multiple data sources.
Experience using SAS, Altair, or Python for analytics, data preparation, automation, or complex problem-solving.
Experience designing operational KPIs, performance reports, dashboards, and analytics solutions.
Demonstrated success investigating data, reporting, and measurement issues and driving them to resolution.
Ability to perform root-cause, trend, and variance analysis and turn findings into business recommendations.
Strong critical thinking, communication, and stakeholder partnership skills.
Ability to manage complex analytical work independently with sound judgment and accountability.
For remote work, cable broadband or fiber optic internet service with speeds of at least 10 Mbps download and 5 Mbps upload.

Nice To Haves

Bachelor’s degree in analytics, information systems, computer science, mathematics, statistics, business analytics, or a related field.
Healthcare or payer analytics experience involving claims, membership, clinical operations, utilization management, provider data, or regulatory reporting.
Experience supporting executive reporting and operational performance management.
Experience improving data quality, reporting infrastructure, or analytical processes.

Responsibilities

Design standardized performance analytics aligned with DS&I priorities and enterprise goals to guide timely decisions.
Build measurement frameworks, data definitions, and methods that improve the consistency and trustworthiness of reporting.
Develop and automate Tableau dashboards that provide clear insights and recommended actions.
Partner with business leaders to define key questions, translate needs into analytical solutions, and measure results.
Evaluate trends, risks, opportunities, and performance drivers through root-cause, variance, and operational analysis.
Use advanced SQL to validate results, investigate data issues, and analyze data across multiple sources.
Apply SAS, Altair, or Python to prepare data, automate work, and solve complex analytical problems.
Resolve reporting, data quality, and measurement issues in partnership with IT and cross-functional teams.
Deliver executive-ready reporting that highlights results, risks, business impact, and practical next steps.
Create reusable templates and clear documentation to strengthen quality, accuracy, and team capabilities.
Manage priorities independently while meeting commitments and building trusted stakeholder relationships.