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Intermediate Data Analyst

University of Arkansas
life insurance, sick time
United States, Arkansas, Little Rock
2801 South University Avenue (Show on map)
Nov 22, 2024
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:

11/28/2024 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, 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:

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 Intermediate Data Analyst will be part of a dynamic team contributing to, and with the ability to lead analytic research projects at ACHI. 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. Qualifications:

Minimum Qualifications:

  • Bachelor's Degree plus 3 years of experience in analytics, health services research, statistics, mathematics, computer science or health policy/economics or related field

OR

  • Master's Degree plus 1 year experience in analytics, health services research, statistics, mathematics, computer science or health policy/economics or related field with experience in large dataset linkage, management, and analytic programming using software such as SAS and SQL.

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

Special Knowledge, abilities and skills:

  • 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 Microsoft Office reporting products such as Word, PowerPoint, Excel, and Access.

Additional Information:

Key Responsibilities:

  • Communicate and collaborate with a senior analyst 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.
  • Work with senior analyst to Create written data analytic plans, using relevant background information, with detailed data management procedures to transform raw healthcare data into digestible information for policy and/or research analysts to produce external products.
  • Using SAS or other statistical software, efficiently implement written analytic plans to develop research ready datasets and/or descriptive and inferential statistical output using large complex datasets including, but not limited to administrative healthcare data.
  • 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.
  • Other duties as assigned.

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:If selected for an interview, you may be required to complete a short Basic Excel assessment as well as a SAS assessment.

Recruitment Contact Information:

Please contact askrecruitment@uams.edufor any recruiting relatedquestions.

All application materials must be uploaded to the University of Arkansas System Career Sitehttps://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
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