Job Description
HIRING: Healthcare Data Analyst with SAS SQL experience for a full-time opportunity with a Government Healthcare Program!
Remote with occasional onsite meetings in Harrisburg, PA and Mechanicsburg, PA -- MUST be located within reasonable commute.
Healthcare Data Analyst
- Pays: $35 - $38 per hour + Benefits available (PTO, Medical, Dental, Vision, Short-Term Disability, etc.)
- Schedule: Monday to Friday, 8 hours per day, 40 hours per week
- Remote with occasional onsite meetings in Harrisburg and Mechanicsburg.
- 1 year W2 Contract via A-Line Staffing Solutions
Job Responsibilities:
- Assist in the design and conduct of: Fiscal and program analyses to support Pennsylvania Medical Assistance Program decision-making processes.
- Analyses to support medical assistance business operating decisions and for tracking reporting and controlling of Medical Assistance costs.
- Analyses to support the development of effective provider network management and reimbursement strategies or identification of abuse or waste in the Medical Assistance program.
- Cost benefit analyses for new Medical Assistance initiatives
- Medical Assistance cost trend analyses by geography services provider type place of service and other factors to discover trends and suggest action plans.
- Fiscal and impact analysis of potential cost containment initiatives.
- Large data set analyses to determine whether targeted cost savings were achieved or to identify future savings targets
- Analyses of various data sets to recommend payment levels and provide fiscal impact estimates
- Development and maintenance of healthcare payment reconciliation systems
- Participate in meetings to advise Commonwealth staff on work results.
- Prepare summary level papers and defend analyses completed.
Minimum Qualifications
- Bachelor's Degree and 2 years of analytical experience in the healthcare/medical field preferred
- Proficiency in: SAS SQL data mining software and Microsoft Office Suite including Access Excel Power Point and Word required
- Experience in accessing. using and analyzing complex medical information databases