Strategy & Analytics Senior Advisor, C&CE - Evernorth - Remote

Position Summary

The Client & Customer Experience (C&CE) team is responsible for servicing Cigna customers across multiple lines of business, including US Employer, Pharmacy Benefit Management, Individual and Family Plans, and more. C&CE owns the delivery of exceptional client and customer experience while operating Cigna’s call centers effectively and efficiently. The Business Analytics Advisor will support critical analytical work that impacts C&CE strategic priorities.

The role is fully remote; candidates who live within 50 miles of Bloomfield, CT;
Chattanooga, TN;
Denver, CO;
St Louis, MO; or Scottsdale, AZ may be required to work onsite three days per week. If working at home, the internet connection must be cable broadband or fiber optic with speeds of at least 10

Mbps download and 5

Mbps upload.

• Shape C&CE strategy by developing business cases, evaluating options, and assessing costs and benefits to guide prioritization decisions.
• Leverage data to solve business problems by identifying data needs, pulling data from relevant sources, and performing analysis.
• Identify business opportunities using trend analysis and mining operational data for insights.
• Develop testing plans, monitor performance indicators, and investigate and remediate emerging issues quickly.
• Deliver executive‑level storytelling by distilling analysis into crisp presentations that educate and inspire action.
• Partner extensively across Cigna with Operations, Tech, Finance, and business teams.

• Analytics – Evaluate business opportunities, perform data analysis, and develop recommendations that account for benefits, costs, risks, and alternatives.
• Strategy – Shape the future of C&CE through data‑driven analysis and business acumen; identify transformational opportunities over the next 3–5 years.
• Business Judgment – Develop and use frameworks to scope ambiguous problems, focusing on leverage to uncover insights that drive action.
• Data – Ground analysis in data; define needs, identify sources, ensure quality, and partner with data teams. Proficiency in a coding language (SQL or Python) is a core requirement.
• Communications – Influence senior leaders and stakeholder teams by distilling complex analytical work into key insights, recommendations, and next steps.
• Teamwork – Partner across Cigna; work closely with Operations, Tech, Finance, and business teams.

• Bachelor's degree in math, economics, statistics, engineering, business, or a related field.
• Five years of relevant analytics or management consulting experience.
• Strong oral and written communication, presentation, and facilitation skills.
• Ability to structure project or program plans and independently drive work streams forward.
• Ability to partner across organizations and roles to influence and deliver work.
• Two years of building, managing, or using business models (e.g., optimization, predictive analysis, or financial/credit modeling).

• MBA or other relevant advanced degree (e.g., MS in Analytics).
• Eight or more years of relevant analytics or management consulting experience.
• Proficiency in an analytics‑focused coding language (SQL, Python, or R).
• Four or more years of end‑to‑end model design and ownership experience (e.g., optimization, predictive analysis, or financial/credit modeling).
• Two or more years of healthcare experience.
• Two or more years of experience in Operations and/or Customer Experience roles.

Annual salary range: $112,800 – $188,000, depending on experience and geographic location. Eligibility for an annual bonus plan. Comprehensive benefits include medical, vision, dental, wellness and behavioral health programs, 401(k) with company match, paid life insurance, tuition reimbursement, at least 18 days of paid time off per year, and paid holidays.

Qualified applicants will be considered without regard to race, color, age, disability, sex, childbirth (including pregnancy) or related medical conditions, sexual orientation, gender identity or expression, veteran or military status, religion, national origin, ancestry, marital or familial status, genetic information, status with regard to public assistance, citizenship status, or any other characteristic protected by applicable equal employment opportunity laws.