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Senior Advisor – Business Analytics, Customer Engagement
The Cigna GroupSenior Advisor facilitating analytics to enhance customer engagement strategies at Cigna and Evernorth. Responsibilities include translating strategies into measurable outcomes and collaborating across teams.
Posted 7/16/2026full-timeRemote • Connecticut • 🇺🇸 United StatesSenior💰 $112,800 - $188,000 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates strong expertise in business analytics and customer experience analytics, with a focus on creating and operationalizing analytical frameworks that drive outcome-oriented decision-making. Proficient in translating complex analytical findings into actionable business strategies and insights.
Highest-signal resume keywords
Business AnalyticsCustomer Experience AnalyticsAnalytical FrameworksSQLTableau
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Business AnalyticsCustomer Experience AnalyticsAnalytical FrameworksData AnalysisKPI DevelopmentPerformance MetricsSegmentation AnalysisBehavioral AnalysisJourney AnalyticsData-Driven Decision Making
Soft Skills
Excellent CommunicationStorytellingCollaborationStrategic ThinkingBusiness Acumen
Tools & Technologies
SQLPython/RTableauDatabricks
Industry Keywords
Customer EngagementData EnvironmentsPerformance InsightsBusiness StrategyEnterprise Collaboration
Tech Stack
Tools & technologiesPythonSQLTableau
About the role
Key responsibilities & impact- Enable Outcomes-Oriented Customer Engagement Function
- Partner with Customer Engagement teams to align analytics and test/learn agendas with strategic priorities for business and enterprise
- Translate business strategies into structured measurement approaches, including KPIs, success metrics, and hypotheses for experimentation
- Proactively identify opportunities to improve data-driven feedback loop for customer engagement function
- Support prioritization of customer engagement capabilities by grounding decisions in data, performance insights, and expected business impact
- Evaluate and Optimize Customer Engagement Strategy Performance
- Assess the performance and impact of engagement strategies, identifying and enabling opportunities for scaling high-value initiatives
- Perform deep dives into performance drivers, including adoption, engagement, friction points, and leakage across journeys
- Partner with product and engagement stakeholders to continuously refine experiences based on insights and testing outcomes
- Lead Segmentation, Behavioral, and Journey Analytics
- Create, operationalize, and evangelize frameworks for segmentation, behavioral, and journey analysis to identify areas of opportunity across the enterprise
- Develop and advance analytic solutions and approaches from one-time analyses to repeatable, scalable frameworks and data products
- Identify key drivers of customer satisfaction, engagement, and value perception across digital experiences
- Influence Decision-Making Through Insight and Storytelling
- Translate complex analytical findings into clear, compelling narratives that inform business strategy and enable sustained impact across enterprise
- Provide strategic input into prioritization, roadmap decisions, and investment tradeoffs
- Anticipate business questions and proactively develop insights to inform decision-making
- Enterprise Collaboration
- Work across enterprise to incorporate analytics products and insights into enterprise strategic priorities and business growth plans
- Serve as a key connector between analytics, customer engagement, and business stakeholders to ensure insights are actionable and adopted
- Support a coordinated approach to analytics across fragmented teams and capabilities
Requirements
What you’ll need- Strong experience in business analytics and/or customer experience analytics
- Strong business acumen with the ability to connect analytics to financial and strategic outcomes
- Demonstrated ability to create and operationalize analytical frameworks to support outcome-oriented decision-making
- Experience working in complex, evolving data environments
- Excellent communication skills with the ability to translate complex analytics into business and customer implications
- Proficiency in analytics tools and platforms (e.g., SQL, Python/R, Tableau, Databricks)
Benefits
Comp & perks- Comprehensive range of benefits
- Health-related benefits including medical, vision, dental
- Well-being and behavioral health programs
- 401(k)
- Company paid life insurance
- Tuition reimbursement
- Minimum of 18 days of paid time off per year
- Paid holidays
- Leaves of absence