Intermediate Data Analyst

University of Arkansas for Medical Sciences•Little Rock, AR

About The Position

The Intermediate Data Analyst for the Arkansas Center for Health Improvement (ACHI) will be part of a dynamic team contributing to, and with the ability to lead analytic research projects. In collaboration with the Director of Analytics, Assistant Director of Analytics, principal investigators, and other ACHI staff, the analyst will develop and implement advanced data and statistical analytics using private and public health care data to inform research and analytics on important health policy questions.

Requirements

Bachelor’s Degree plus three (3) years of experience in data analytics, health services research, mathematics, or related field OR Master’s Degree plus one (1) year experience in data analytics, health services research, mathematics, or related field
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.

Nice To Haves

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.

Responsibilities

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.