Position is office based in MN - 4 days a weelk.The Evaluation and Data Science team within UHC Clinical Services is charged with conducting impact evaluations for clinical programs touching the lives of our members. Our goal is to ensure that each clinical program we deploy delivers the greatest value by improving health outcomes, enhancing the member experience, and promoting the responsible use of resources. We support these programs by analyzing data to inform business cases and leading rigorous evaluations across all Lines of Businesses. The Senior Data Analyst 1) supports the team in analytic dataset creation for evaluations of UHC clinical programs, 2) stays current with emerging and evolving data sources to ensure analyses leverage the most relevant, accurate, and comprehensive information available, and 3) advances modernization of our approach to data storage, access, and analysis. Ideal candidates will have intermediate to advanced SQL programming skills to build analytic datasets from relational databases (e.g., administrative claims and other health care databases).
Position is office based in Hopkins, MN
Primary Responsibilities:- Support the Evaluation and Data Science Team and UHC Clinical Services as a data and programming expert
- Conduct data extraction from a variety of data sources (primarily administrative claims) and SAS/SQL programming of analytic datasets
- Support standardization efforts, including creating and documenting standard programs to increase efficiency and ensure quality
- Additional Responsibilities:
- Stay informed of data migrations throughout the larger company to help the Evaluation and Data Science transition data platforms as necessary
- Explore new data sources to assess the completeness and quality of data, often comparing them against legacy data sources to ensure consistency and identify any gaps
- Share knowledge of data/programming/technology advancements with the team through presentations, documentation, and collaborative discussions
- Conduct analyses to inform data dictionary, analytic file, and evaluation efforts
You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
Required Qualifications:- 5+ years experience in data processing (i.e., including data retrieval, cleaning, and manipulation) in at least one of the following: SQL, SAS, Python; Intermediate SQL experience
- 3+ years experience supporting health services, health care economics, epidemiology, or outcomes research
- 3+ years experience with administrative claims data, EHR/EMR data, or complex relational databases
- Proficiency in executing multi-step data management and analysis tasks including creating data dictionaries and specification documents from research protocols
Preferred Qualifications:- Experience using large administrative claims assets from health plan/payers
- Experience in development of analytic plans and protocols
- Knowledge of cloud-based software and platform services (Snowflake, Azure)
- Demonstrated ability to participate in project design and interpretation
Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $91,700 - $163,700 annually based on full-time employment. We comply with all minimum wage laws as applicable.
