Senior Data Analyst Job Listing at UAMS in Little Rock, AR (Job ID R0054343)

Description

Current University of Arkansas System employees, including student employees and graduate assistants, need to log in to Workday via MyApps.Microsoft.com, then access Find Jobs from the Workday search bar to view and apply for open positions. Students at University of Arkansas System two-year institutions will also view open positions and apply within Workday by searching for “Find Jobs for Students”.

All Job Postings will close at 12:01 a.m. CT on the specified Closing Date (if designated).
If you close the browser or exit your application prior to submitting, the application process will be saved as a draft. You will be able to access and complete the application through “My Draft Applications” located on your Candidate Home page.
 

Closing Date:

Type of Position: Research
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, affirmative action institution. The University does not discriminate in its education programs or activities (including in admission and employment) on the basis of age, race, color, national origin, disability, religion, marital or parental status, protected veteran status, military service, genetic information, or sex (including pregnancy, sexual orientation, and gender identity). Federal law prohibits the University from discriminating on these bases. 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.

At UAMS we value Diversity, Equity and Inclusion.
 

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:

Summary of Job Duties: 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 Research and Evaluation, 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:

• Master's Degree in health services research, statistics, mathematics, computer science or health policy/economics or related field.
• Three (3) years of experience conducting statistical programming on large datasets.
• Data management with large, administrative datasets including healthcare claims data.
• Manipulation of large datasets using advanced data management and statistical software such as SAS or SQL; experience using both would be preferred.
• Use of advanced SAS functions to manipulate dates to create time -dependent analytical variables.
• Use of statistical techniques, including univariate statistics, comparisons, and regression modeling, and Application, calculation and interpretation of descriptive and inferential data.

Preferred Qualifications:

• Healthcare cost and use analyses
• Knowledge and use of trusted national data sources (e.g., ACS, HCUP, MEPS).
• Health services research, such as healthcare quality, Medicaid eligibility, Medicaid/Medicare claims, health disparities, or chronic diseases.
• CPT, ICD-9 Procedure, ICD-9 Diagnosis, HCPCS, DRG/MS-DRG, NDC, Type of Service, Place of Service, and other codes commonly utilized in healthcare data sets.
• Knowledge of ArcGIS or other geographical coding programs to assist in health geocoding/mapping

Additional Information:

Key Responsibilities:

• 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.
• 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.
• 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.
• 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.

Salary Information:

Commensurate with education and experience

Required Documents to Apply:

Cover Letter/Letter of Application, License or Certificate (see special instructions for submission instructions), List of three Professional References (name, email, business title), Resume

Optional Documents:

Proof of Veteran Status
Special Instructions to Applicants:

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: Hearing, Manipulate items with fingers, including keyboarding, Sitting, Standing
Frequent Physical Activity: Talking, Walking
Occasional Physical Activity: Pulling, Pushing, Reaching, Walking
Benefits Eligible: Yes

 Apply on company website