Senior Business Intelligence Engineer
WVU Medicine
full-time
Posted on:
Location Type: Remote
Location: United States
Visit company websiteExplore more
Job Level
About the role
- Assists with the development, scaling, improvement, and maintenance of data models, dashboards, and analytical solutions supporting Peak Health operations.
- Leverages complex analytical tools to provide business and technical expertise to create data driven solutions.
- Partners with health plan leadership, product, operations, medical management, and provider contracting teams to understand & anticipate reporting requirements, priorities, and key performance indicators.
- Provides thought leadership to key business stakeholders, translating data into actionable insights using appropriate analytical solutions.
- Produces repeatable and ad-hoc reports for key business stakeholders to measure and interpret business trends.
- Participates in a variety of assigned operations initiatives to ensure success in meeting business goals and objectives.
- Provides mentoring and guidance to Business Intelligence Engineers on processes and practices related to repeatable and ad-hoc reports, defining business cases, and supporting key business stakeholders.
- Collects report requirements – interview and research business stakeholder needs; draft, edit and validate requirement documentation.
- Provides input on project plans, scope of work, status, and project summary reports.
- Provides input on strategies and tactics regarding platforms, tools, and technical staffing to meet customer needs.
- Communicates results of analysis effectively and regularly to business stakeholders.
Requirements
- Bachelor’s Degree in Health Administration, Business Administration, Mathematics, Computer Science, Statistics, Information Systems, or a related field.
- Five (5) year of experience monitoring, managing, manipulating, and drawing insights from data in a managed care company.
- Three (3) years of experience working with claims data to evaluate reimbursement changes, payment discrepancies, medical expense opportunities, quality outcomes and risk.
- Master’s Degree in Health Administration, Business Administration, Computer Science, Statistics, Information Systems, or a related field. (preferred)
- Three (3) years of experience working with Medicare and/or Medicaid Data. (preferred)
- Familiarity with health plan operations, data architecture, and Medicare/Medicaid regulatory environments. (preferred)
Benefits
- Health insurance
- Flexible work arrangements
- Professional development opportunities
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data modelsanalytical solutionsreporting requirementsdata analysisdata manipulationclaims databusiness intelligencedata architectureproject managementdata visualization
Soft Skills
communicationmentoringcollaborationleadershipproblem-solvingstakeholder engagementanalytical thinkingadaptabilityattention to detailstrategic thinking