Intermediate Data Analyst

• 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.

• 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.

Knowledge, Abilities, and Skills:

• 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., * 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

UAMS offers amazing benefits and perks (available for benefits eligible positions only):

• Health: Medical, Dental and Vision plans available for qualifying staff and family
• Holiday, Vacation and Sick Leave
• Education discount for staff and dependents (undergraduate only)
• Retirement: Up to 10% matched contribution from UAMS
• Basic Life Insurance up to $50,000
• Career Training and Educational Opportunities
• Merchant Discounts
• Concierge prescription delivery on the main campus when using UAMS pharmacy, Commensurate with education and experience

The University of Arkansas for Medical Sciences (UAMS) has a unique combination of education, research, and clinical programs that encourages and supports teamwork and diversity. We champion being a collaborative health care organization, focused on improving patient care and the lives of Arkansans.