Medicare Stars Data Science Lead Analyst- Hybrid- Cigna Healthcare- NC, TX, PA, CT, MO, TN at Cigna in Raleigh, North Carolina

Job Description:

Job Summary:

The Data Science Analyst will be responsible for supporting the analytics strategy for Cigna Healthcare, performing research and analysis within the Medicare Stars program. This position is located within the Medicare Stars Analytics and Reporting team, who's function is to provide operational and analytical support to internal and external partners to improve Cigna's Medicare Star Ratings. Reporting to the Senior Manager of Stars Data Science, the Data Science Analyst will analyze data including healthcare claims, clinical outcomes and Stars quality measures to make recommendations based on relevant findings. The Data Science Analyst will interface across multiple business areas, including, but not limited to clinical, pharmacy, customer experience, product development and operations as needed.

The person chosen for this role will be producing technical and analytical enhancements to further improve Cigna's Medicare Star ratings. This role will assist in designing and developing advanced analytics methods, including data mining, predictive modeling, and other complex statistical analyses, using a broad array of datasets to focus on identifying areas for Stars quality improvement. Results of these analyses will be synthesized into actionable information to assist Stars leadership in making critical business decisions related to enhancements to existing programs, development of new pilots and initiatives, and other opportunities to maximize Stars affordability and enterprise value. The ideal candidate will have a passion for healthcare analytics and a creative mindset for approaching data in innovative ways.

Core Responsibilities

• Extract and analyze large healthcare data using SAS, SQL, R, Python, Teradata, Hadoop, etc.


• Identify, analyze and interpret trends or patterns in data sets through descriptive and multivariate statistics.


• Develop statistical models and methods (including but not limited to machine learning and other regression techniques) to identify and stratify individuals.


• Create predictive models to identify individuals for target programs and initiatives.


• Develop actionable insights and present results to non-technical business partners and stakeholders to drive the decision-making process.


• Collaborate with matrix partners to understand project developments, assess impacts to data and analytics.


• Develop methods for improving internal techniques and processes with expertise in creating highly effective, visual graphics that tell complex stories in formats that can be easily conveyed to leadership and executive clients.


• Develop analytical and statistical models and methodologies to classify, quantify, and/or forecast business metrics that help customers make sound business decisions.


• Work collaboratively and partner with departments across the organization to ensure deliverables are accomplished.

Qualifications

• Bachelors degree in Statistics, Mathematics or equivalent amount of work experience. Advanced degree preferred.


• 3+ years of healthcare-related data/analytics experience solving business problems through the application of analytic approaches.


• Experience with diverse healthcare data preferred, including claims, EHR, demographic, pharmacy, lab, biometrics, genomic, and text.


• Previous experience conducting program evaluation/outcomes research methods, predictive modeling and data mining is required.


• Experience with statistical software program such as SAS/SAS EG, R and/or Python is required.


• Statistical and/or data mining experience in propensity score modeling, multivariate regression, machine learning required.


• Comprehension of healthcare data (e.g., claims, utilization, provider information) and demonstrated understanding of health care and delivery system processes.


• Leadership competencies including the ability to collaborate with others and establish working relationships, communicate effectively across the organization and at different levels, think and act strategically, and influence key leaders with a strong customer focus and management of stakeholder expectations.

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.

About Cigna Healthcare

Cigna Healthcare, a division of The Cigna Group, is an advocate for better health through every stage of life. We guide our customers through the health care system, empowering them with the information and insight they need to make the best choices for improving their health and vitality. Join us in driving growth and improving lives.

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.

If you require reasonable accommodation in completing the online application process, please email: SeeYourself@cigna.com for support. Do not email SeeYourself@cigna.com for an update on your application or to provide your resume as you will not receive a response.

The Cigna Group has a tobacco-free policy and reserves the right not to hire tobacco/nicotine users in states where that is legally permissible. Candidates in such states who use tobacco/nicotine will not be considered for employment unless they enter a qualifying smoking cessation program prior to the start of their employment. These states include: Alabama, Alaska, Arizona, Arkansas, Delaware, Florida, Georgia, Hawaii, Idaho, Iowa, Kansas, Maryland, Massachusetts, Michigan, Nebraska, Ohio, Pennsylvania, Texas, Utah, Vermont, and Washington State.