Samaritan Health Plans (SHP) provides health insurance options to Samaritan employees, community employers, and Medicare and Medicaid members. SHP operates a portfolio of health plan products under several different legal structures: InterCommunityHealthPlans, Inc. (IHN) is designated as a regional Coordinated Care Organization (CCO) for Medicaid beneficiaries; Samaritan Health Plans, Inc. offers Medicare Advantage, Commercial Large Group, and Commercial Large Group PPO and EPO plans; SHP is also the third-party administrator for Samaritan Health Services' self-funded employee health benefit plan. As part of an Integrated Delivery System, Samaritan Health Plans is strategically and operationally aligned with Samaritan Health Services' mission of Building Healthier Communities Together. This is a remote position in which we are able to employ in the following states:Alabama, Alaska, Arizona, Arkansas, Connecticut, Florida, Georgia, Idaho, Indiana, Iowa, Kansas, Kentucky, Louisiana, Michigan, Mississippi, Missouri, Montana, Nebraska, Nevada, New Hampshire, New Mexico, North Carolina, Oklahoma, Oregon, Pennsylvania, Rhode Island, South Carolina, South Dakota, Tennessee, Texas, Utah, Virginia, West Virginia, or Wisconsin Preferred candidates will be in pacific time zone, or be willing to work pacific time zone hours. Our ideal candidate will have the following: Advanced Excel skills and Power BI Knowledge of databases, data models and ER (entity-relationship) diagrams Ability to write intermediate level SQL Critical thinking skills Healthcare insurance concepts / Facets Data analysis experience JOB SUMMARY/PURPOSE Collects, processes, and validates data from multiple sources to ensure accuracy, identify trends/patterns, and provide insights to help SHP make informed decisions. Supports decision making through ad hoc analysis and data modeling. Utilizes statistical tools and techniques to analyze/interpret data, create reports, and provide data visualizations to support strategic planning. Collaborates closely with cross functional teams to understand data and improve data quality and the reporting process.
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Job Type
Full-time
Career Level
Entry Level
Number of Employees
5,001-10,000 employees