Jr. Healthcare Data Analyst

The ACI Group, Inc. is seeking a Jr. Healthcare Data Analyst to join their client's team supporting various projects. The role involves analyzing data to identify opportunities for quality improvement in healthcare processes and outcomes, as well as developing presentations and reports based on the analysis.

Responsibilities:

• Trend data to identify potential opportunities (e.g., variances, significant outliers, percentile ranked groups) for quality improvement or focused investigations
• Aid in design data analysis strategies to identify potential areas for quality improvement or focused investigation
• Analyze data, draw conclusions, and summarize into quality indicator values
• Develop tabular and graphical presentations of data, which clearly and concisely illustrate current levels of care
• Populate tabular and graphical presentation of data
• Contribute to the development of interventions (i.e., develop educational materials for doctors and nurses) which will improve healthcare processes and outcomes
• Facilitate design re-measurement strategies (after intervention) of healthcare processes and outcomes to effectively quantify impact of interventions for improvement
• Analyze re-measurement data and summarize into quality indicator values
• Support development of reports concerning all of the above
• May mentor junior Data Analysts in technical aspects of their work
• Assist in preparing findings for publishing in peer reviewed journals

Requirements:

• Must be a US Citizen and able to obtain a Federal Public Trust Background Check in addition to passing a Federal Drug Screen
• Bachelor's degree (BA or BS) in Statistics, Biostatistics, Epidemiology, Public Health or related discipline (e.g., Economics, Mathematics, Engineering, Computer Science) required
• Minimum of 2 years of hands-on SAS or other statistical programming work experience, or demonstrated combination of education and experience
• Master's Degree preferred
• 6 months experience with health related analytic research and quality improvement methodology (ISO, CQI, TQM, Six Sigma, Lean, Etc.) preferred
• Python experience
• Experience working with Medicare or Medicaid data (Medicaid a huge plus)