Intermediate Data Analyst

• Bachelor’s degree plus three (3) years of experience in analytics, health services research, statistics, mathematics, computer science, or health policy/economics, or a related field, or
• Master’s degree plus one (1) year of experience in analytics, health services research, statistics, mathematics, computer science, or health policy/economics, or a related field required.

• Base or Advanced SAS certification
• Experience manipulating and analyzing administrative claims
• Demonstrable ability to write efficient code and think logically
• Use of advanced SAS functions to manipulate dates to create time-dependent analytical variables
• Knowledge and use of national data sources (e.g., ACS, HCUP, MEPS)
• Knowledge of ArcGIS or other geographical coding programs to assist in health geocoding/mapping
• Knowledge of Medicaid eligibility, Medicaid/Medicare claims, health disparities, or chronic diseases
• Knowledge of ICD-9/10 Diagnosis, ICD-9/10 Procedure, CPT, HCPCS, DRG/MS-DRG, NDC, Type of Service, Place of Service, and other codes commonly utilized in health care data sets

This position is subject to pre-employment screening (criminal background, drug testing, and/or education verification). A criminal conviction or arrest pending adjudication alone shall not disqualify an applicant except as provided by law. Any criminal history will be evaluated in relationship to job responsibilities and business necessity.  The information obtained in these reports will be used in a confidential, non-discriminatory manner consistent with state and federal law. 

• Manipulation of large datasets using statistical programming or advanced data management software, such as such as SAS and SQL
• Use of Microsoft Office reporting products such as Word, PowerPoint, and Excel
• Self-motivated to learn and explore new and existing ideas.
• Think critically and strategically.
• Work well independently and in a team environment.
• Manage and prioritize multiple tasks/projects.
• Work efficiently and meet deadlines.
• Communicate well both verbally and in writing.

• →Work with the Assistant Director of Analytics to develop complex and efficient data analytics to manipulate health care data to create research-ready datasets for empirical analyses.
• →Import and integrate large, complex longitudinal datasets from a variety of sources to produce unified research-ready, analytic datasets.
• →Import and integrate large, complex datasets using SAS, including administrative claims data and enrollment files from a variety of insurance payers.
• →Collaborate with research and analytic team as well as across teams on translating research and analytic questions into initial analytic plans based on research and analytic questions.
• →Work with the Assistant Director of Analytics to create written data analytic plans with detailed data management procedures to transform health care data into research-ready analytic datasets.
• →Draft methodological sections of technical reports following accepted protocols. Maintain detailed programming documentation for all projects, including annotated program code, dataset codebooks, and statistical output.
• →Perform other duties as assigned.

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Please contact askrecruitment@uams.edu for any recruiting related questions.

All application materials must be uploaded to the University of Arkansas System Career Site https://uasys.wd5.myworkdayjobs.com/UASYS  

Please do not send to listed recruitment contact.