Business Analytics Advisor (Specialty Care Collaboration) - Remote

The job profile for this position is Business Analytics Advisor, which is a Band 4 Senior Contributor Career Track Role.

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Summary

We are looking for a candidate to conduct advanced and exploratory analytics, generating actionable insights and resources to strategically design and/or enhance pay for performance programs.

Responsibilities

• Collaborate and work closely with stakeholders to design and evaluate VBC programs with a focus on Specialty VBC. Example areas include Nephrology, hospital Accountable Care Organization (ACO) programs, Episodes of Care/Bundle programs, Oncology Medical Home, etc.

• Design and build financial models under supervision for new VBC programs and build and manage annual reconciliation for pilot and mature programs.

• Apply robust and appropriate statistical and clinical rigor using advanced analytic techniques including but not limited to risk adjustment, episode analytics, statistical modeling, power analysis, matched case control studies etc.

• Derive actionable insights from healthcare data (claims, clinical, pharmacy, externally sourced) to engage and enable our provider/clinical partners. Work with IT partners to deploy actionable insight into accessible solutions for our provider/clinical partners.

• Present analytic findings and recommendations to technical and non-technical business partners and leadership to drive data driven strategies.

• Explore innovative solutions to business questions/problems

Qualifications

This position requires healthcare and insurance content knowledge, analytics expertise with a focus on data extraction, data analytics and financial modeling and VBC expertise to support Cigna's affordability strategy

• 5 years’ experience in related healthcare analytics or VBC research

• Strong technical skills required to extract, transpose, and analyze Big Data housed in Databricks and Teradata using SQL and Python, SAS or R

• Strong Healthcare data knowledge and hands on experience (medical claims data, clinical data, pharmacy data and eligibility data)

• Strong medical economics and healthcare financial modeling experience

• Knowledge of ACO, bundles, episodes, etc. is required

• Statistical training in school or through work (ability to formulate and execute appropriate confidence intervals, power analysis, bootstrapping, regression modeling, etc.) required

• Advanced visualization skills using Tableau, Python or R preferred

• Ability to consistently deliver on-time while managing multiple projects at the same time

• Ability to work under supervision as well as independently based on project requirements

• Ability to successfully navigate and contribute in a highly matrixed environment

• Enjoys problem solving and creating innovative solutions

• Strong verbal and written communication skills

• Advanced degree or equivalent experience in Statistics, Biostatistics, Economics, Epidemiology, Health Outcomes Research, Actuarial Science, or Data Science is highly desirable

If you will be working at home occasionally or permanently, the internet connection must be obtained through a cable broadband or fiber optic internet service provider with speeds of at least 10Mbps download/5Mbps upload.

For this position, we anticipate offering an annual salary of 96,000 - 160,000 USD / yearly, depending on relevant factors, including experience and geographic location.

This role is also anticipated to be eligible to participate in an annual bonus plan.

We want you to be healthy, balanced, and feel secure. That’s why you’ll enjoy a comprehensive range of benefits, with a focus on supporting your whole health. Starting on day one of your employment, you’ll be offered several health-related benefits including medical, vision, dental, and well-being and behavioral health programs. We also offer 401(k) with company match, company paid life insurance, tuition reimbursement, a minimum of 18 days of paid time off per year and paid holidays. For more details on our employee benefits programs, visit Life at Cigna.

Qualified applicants will be considered without regard to race, color, age, disability, sex, childbirth (including pregnancy) or related medical conditions including but not limited to lactation, 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.

Please note that you must meet our posting guidelines to be eligible for consideration.  Policy can be reviewed at this link.

Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal, state and local ordinances.