Intermediate Data Analyst

University of Arkansas • Little Rock, AR

5d

About The Position

The Intermediate Data Analyst for the Arkansas Center for Health Improvement (ACHI) will join a collaborative team and contribute to, and may lead, analytic research projects. Working with analytics leadership, principal investigators, and other ACHI staff, the analyst develops and implements advanced data and statistical analyses using private and public health care data to address important health policy questions.

The position focuses on integrating and managing complex health care datasets to create research-ready analytic datasets, developing analytic plans and procedures, and supporting empirical analyses. The analyst also drafts methodological sections of technical reports and maintains detailed programming documentation. The position is regular, benefits-eligible, and works a day shift. Salary is commensurate with education and experience.

Requirements

• Bachelor’s degree and at least three years of experience in analytics, health services research, statistics, mathematics, computer science, health policy/economics, or a related field; or a master’s degree and at least one year of experience in one of these fields or a related field.
• Ability to manipulate large datasets using statistical programming or advanced data-management software such as SAS and SQL.
• Ability to use Microsoft Office reporting products, including Word, PowerPoint, and Excel.
• Self-motivation to learn and explore new and existing ideas.
• Ability to think critically and strategically.
• Ability to work independently and in a team environment.
• Ability to manage and prioritize multiple tasks and projects, work efficiently, and meet deadlines.
• Strong verbal and written communication skills.

Nice To Haves

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

Responsibilities

• Work with the Assistant Director of Analytics to develop complex and efficient analytics that manipulate health care data into research-ready datasets for empirical analyses.
• Import and integrate large, complex longitudinal datasets from varied sources to produce unified research-ready analytic datasets.
• Import and integrate large, complex datasets using SAS, including administrative claims data and enrollment files from multiple insurance payers.
• Collaborate with research and analytics teams to translate research and analytic questions into initial analytic plans.
• Work with the Assistant Director of Analytics to develop written analytic plans detailing data-management procedures for transforming health care data into research-ready analytic datasets.
• Draft methodological sections of technical reports in accordance with accepted protocols.
• Maintain detailed programming documentation for projects, including annotated program code, dataset codebooks, and statistical output.
• Perform other duties as assigned.

Benefits

• Medical, dental, and vision plans for qualifying staff and family.
• Holiday, vacation, and sick leave.
• Education discount for staff and dependents (undergraduate only).
• Retirement contribution matched by UAMS up to 10%.
• Basic life insurance up to $50,000.
• Career training and educational opportunities.
• Merchant discounts.
• Concierge prescription delivery on the main campus when using the UAMS pharmacy.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level