Senior Business Intelligence Engineer

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Martin's Point Health Care

501 - 1000 employees

⚕️ Healthcare Insurance

🧘 Wellness

Healthcare Insurance • Wellness

Martin's Point Health Care is a healthcare organization committed to serving its local communities through high-quality primary and specialty care services. The organization places a strong emphasis on creating a positive workplace culture, recognizing employee contributions, and fostering workforce diversity. Martin's Point Health Care offers a range of career opportunities across various departments, from healthcare providers to corporate roles, and supports employee growth through competitive compensation, development programs, and generous perks. Additionally, the company is recognized for its community impact efforts, raising significant funds for community organizations and encouraging employee volunteerism.

📋 Description

• Leads the migration of legacy reporting platforms (e.g., Cognos, Tableau, SSRS) to Power BI • Designs and implement robust semantic models and data sets to support self-service analytics and standardized reporting across clinical, operational, and financial domains • Establishes and enforce Power BI governance standards, including workspace architecture, data security, and lifecycle management • Partners with data architecture and engineering teams to ensure optimized data pipelines and integration • Collaborates with clinical, actuarial, and operational stakeholders to define KPIs and reporting requirements • Mentors junior analysts in best practices in DAX, Power Query, and data modeling • Monitors and optimizes Power BI performance, including dataset refresh schedules, query tuning, and report responsiveness • Supports change management and user adoption through training and documentation

🎯 Requirements

• Bachelor's Degree required • Master's Preferred • Microsoft Power BI certification (PL-300 or PL-600) preferred • 8+ years of experience in business intelligence or analytics, with at least 2 years in a Senior Power BI development role • Familiarity with provider organizations, ACOs, and/or health insurance operations • Deep expertise in DAX, Power Query (M), and dimensional data modeling • Strong understanding of semantic layer design and enterprise data architecture • Experience with healthcare data such as claims, encounters, EHR, HEDIS, risk adjustment, or quality metrics • Familiarity with value-based care models, population health analytics, or CMS reporting requirements

🏖️ Benefits

• Organizational culture of trust and respect • Continuous learning opportunities • Flexible working arrangements • Equal opportunity employer

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