Job Description: Prepare and present data analyses in support of clinical and fiscal operations, management, contractual compliance, and consumer care initiatives to support decision- making targeted to improve operational performance. Apply proper statistical analysis and data analytic applications developing methodology for review, analysis, and monitoring of key business, clinical, and performance indicators. Utilize analytic techniques ranging from simple data aggregation to relational analyses to complex data mining related to healthcare risk factors, quality and compliance measures, utilization data and financial data. Participate in report preparation/analysis to meet internal and external data reporting requirements. Validate data and information including monitoring and investigating data quality issues. Provide interpretation of data reports for management. Provide process measurement and outcome measure consultation for stakeholders. Telecommuting permitted 95% of the time; while working from Employer's office 5% of the time. Must reside within commuting distance from Employer's office located at 301 S Crapo St, Mount Pleasant, MI 48858. **** No travel involved.

Minimum Requirements: Requires at least a Master's degree in computer science, statistics, information systems, or related field (or foreign equivalent), plus six (6) months of experience as a Data Analyst or in a related occupation. Must also possess a minimum of six (6) months of experience in each of following: 1) Developing back-end tables necessary to complete queries utilizing multiple applications such as Excel, Access, PowerBI, SQL Server, Logi Analytics, or Visual Studio; 2) Utilizing queries to complete data visualizations and develop dashboards; 3) Examining complex data to identify historical variances, future forecasting, and outliers; 4) Creating process measurement and outcome measure reports for stakeholders; 5) Performing statistical analysis, data quality and trend analysis, data submission, data modeling, and data forecasting; 6) Performing data visualization techniques; 7) Working with a data analytics software including Microsoft PowerBI, Logi Analytics, Advanced Excel or Tableau; 8) Working with Database Management Software such as Microsoft SQL Server Management Studio or Oracle DB; and 9) Working with Microsoft Office Suite applications (Excel, Word, Access, and PowerPoint).