Data Measurement & Reporting Advisor - Evernorth - Remote

The Cigna Group•Bloomfield, CT

7d•$96,700 - $161,100•Remote

About The Position

The Data Measurement & Reporting Advisor supports Data Management & Reporting within DS&I by building trusted analytics, answering complex data questions, and shaping decisions that improve operational performance. The role designs standardized performance analytics aligned with DS&I priorities and enterprise goals; develops measurement frameworks, data definitions, and reporting methods; and creates automated Tableau dashboards that turn complex information into insights and recommended actions. The Advisor partners with business leaders and cross-functional teams to translate business needs into analytical solutions, assess performance, investigate data and reporting issues, and communicate results to executives. The role uses advanced SQL and SAS, Altair, or Python to validate and analyze data, prepare information, automate work, and solve analytical problems. It also creates reusable templates and documentation, manages priorities independently, and builds trusted stakeholder relationships. The position is listed as remote. Candidates residing within 50 miles of Bloomfield, CT; Chattanooga, TN; Denver, CO; St. Louis, MO; or Scottsdale, AZ may be asked to work in person. For work performed at home occasionally or permanently, a cable broadband or fiber-optic internet connection with at least 10 Mbps download and 5 Mbps upload is required. The anticipated annual salary is $96,700–$161,100, depending on relevant factors including experience and geographic location. The role is 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 work performed at home occasionally or permanently, access to 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 reporting consistency and trustworthiness.
Develop and automate Tableau dashboards that communicate 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 information 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 that strengthen quality, accuracy, and team capabilities.
Manage priorities independently while meeting commitments and building trusted stakeholder relationships.