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Senior Data AnalystUniversity of Arkansas SystemUnited States

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Senior Data Analyst

University of Arkansas System
  • US
    United States
  • US
    United States

Über

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Closing Date: 02/17/2026 Type of Position: Researchers Job Type: Regular
Work Shift:
Day Shift (United States of America)
Sponsorship Available:
No Institution Name: University of Arkansas for Medical Sciences
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.
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 Below you will find the details for the position including any supplementary documentation and questions you should review before applying for the opening. To apply for the position, please click the
Apply
link/button.
The University of Arkansas is an equal opportunity institution. The University does not discriminate in its education programs or activities (including in admission and employment) on the basis of any category or status protected by law, including age, race, color, national origin, disability, religion, protected veteran status, military service, genetic information, sex, sexual orientation, or pregnancy. Questions or concerns about the application of Title IX, which prohibits discrimination on the basis of sex, may be sent to the University's Title IX Coordinator and to the U.S. Department of Education Office for Civil Rights.
Persons must have proof of legal authority to work in the United States on the first day of employment.
All application information is subject to public disclosure under the Arkansas Freedom of Information Act.
For general application assistance or if you have questions about a job posting, please contact Human Resources at askrecruitment@uams.edu.
Department: ACHI | Analytics
Department's Website: https:achi.net Summary of Job Duties: The Arkansas Center for Health Improvement (ACHI) is a health policy organization that is administratively housed within the University of Arkansas for Medical Sciences. ACHI's mission is to be a catalyst for improving the health of Arkansans through evidence-based research, public issue advocacy, and collaborative program development.
The Senior Data Analyst will be part of a dynamic team contributing to and providing internal leadership on analytic research projects for ACHI's policy efforts. In collaboration with the Director of Analytics, the Assistant Director of Analytics, principal investigators, and other ACHI staff, the Senior Data Analyst will develop and implement advanced data and statistical analytics using private and public healthcare claims data and other health data to inform research on important health policy questions, as well as cost and quality comparative studies for the State of Arkansas.
The position requires the ability to manipulate medical claims data, including data from an all-payer claims database, multiple large public and private health data sources, and numerous other data sources. Qualifications:
Minimum Qualifications:
Bachelor's Degree plus 5 years of experience in analytics, health services research, statistics, mathematics, computer science, health policy/economics or related field
OR
Master's Degree plus 3 years of experience in analytics, health services research, statistics, mathematics, computer science or health policy/economics or related field
Knowledge, Skills & Abilities:
Manipulation of large datasets using statistical programming or advanced data management software, such as such as SAS and SQL; experience using SAS is required and both would be preferred. Use of advanced SAS functions to manipulate data to create time dependent analytical variables Use of statistical techniques, including univariate statistics, comparisons, and regression modeling Application, calculation, and interpretation of descriptive and inferential data Traits and Abilities in the following areas are required:
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. Preferred Qualifications:
Health care utilization and cost analyses Knowledge and use of national data sources (e.g., ACS, HCUP, MEPS) Health services research, such as health care quality, Medicaid eligibility, Medicaid/Medicare claims, health disparities, or chronic diseases 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 Knowledge of ArcGIS or other geographical coding programs to assist in health geocoding/mapping Key Responsibilities:
Statistical Programming and Analyses
Develop complex and efficient data analytic and statistical programs to manipulate healthcare data to create research-ready datasets for empirical analyses. Import and longitudinally cross-link data from a variety of sources to develop 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. Execute basic descriptive and inferential statistical analyses. Collaboration
Communicate and collaborate with the Director of Research and Evaluation and the Assistant Director of Analytics on translating policy questions into initial analytic plans based on policy questions. Communicate and collaborate with project teams made up of other staff who possess data, policy, and other skillsets. Technical Writing
Create written data analytic plans with detailed data management procedures to transform raw healthcare data into research-ready analytic datasets. Write methodological components of technical reports following accepted protocols. Maintain detailed programming documentation for all projects, including annotated program code, dataset codebooks, and statistical output. Research
Identify relevant background information to inform analytic plans designed to answer policy-related questions. Identify new techniques and approaches to enhance current or future analytic reporting.
Additional Information:
Salary Information: Commensurate with education and experience
Required Documents to Apply: Cover Letter/Letter of Application, List of three Professional References (name, email, business title), Resume
Optional Documents:
Proof of Veteran Status Special Instructions to Applicants: Please include cover letter. Professional references are and should include past/current manager or supervisor.
Recruitment Contact Information:
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.
Pre-employment Screening Requirements: Criminal Background Check
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.
Constant Physical Activity: Manipulate items with fingers, including keyboarding, Sitting Frequent Physical Activity: Hearing Occasional Physical Activity: Standing, Talking Benefits Eligible: Yes
  • United States

Sprachkenntnisse

  • English
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