Peak Health

Senior Business Intelligence Engineer

Peak Health

full-time

Posted on:

Location Type: Remote

Location: United States

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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) years 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/Medicare regulatory environments (preferred)
Benefits
  • Health insurance
  • Retirement plans
  • Paid time off
  • Flexible work arrangements
  • Professional development
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data modelingdata analysisreportingdata manipulationanalytical solutionsbusiness intelligencedata architectureclaims data analysisstatistical analysisdata visualization
Soft Skills
communicationmentoringcollaborationleadershipproblem-solvingstakeholder engagementproject managementcritical thinkingadaptabilityinterpersonal skills