Principal Analytics Engineer

Location: Fully remote within the United States; position listed in Tulsa, Oklahoma

Salary: $120,000–$130,000 annually

Company

hirify.global provides relationship-centered, employer-sponsored healthcare solutions focused on improving health outcomes for clients and their employees.

What you will do

• Design, develop, and optimize scalable enterprise analytics and reporting solutions using SQL, Power BI, SSRS, and related technologies.
• Lead complex analytics initiatives from requirements and technical design through implementation and production support.
• Build semantic models, analytical datasets, reporting solutions, and reusable technical components.
• Translate ambiguous business needs into scalable and maintainable technical solutions.
• Establish analytics development standards, documentation practices, reusable patterns, and technical governance.
• Modernize legacy reporting, improve performance and reliability, reduce duplicate logic, and address technical debt.

Requirements

• 5+ years of progressive experience in analytics engineering, business intelligence, reporting engineering, data analytics, or a related technical discipline.
• Advanced experience with SQL, Microsoft SQL Server, Power BI, semantic modeling, DAX, Power Query, dataset design, security, and reporting.
• Strong experience developing and supporting SSRS solutions.
• Experience independently leading complex analytics initiatives from requirements through production.
• Experience establishing analytics standards, reusable technical patterns, governance, and providing technical mentorship.
• Bachelor's degree in a related field preferred; equivalent education and relevant professional experience may be considered.

Nice to have

• Experience with healthcare, clinical, claims, eligibility, financial, population health, or other regulated-industry data.

Culture & Benefits

• Fully remote, principal-level individual contributor role with a high degree of autonomy and ownership.
• Partnership with Data and Analytics leadership, business leaders, Data Engineering, Data Management, and Software Engineering.
• Benefits include medical, dental, vision, 401(k), paid time off, disability insurance, and life insurance.
• Culture centered on collaboration, innovation, empathy, reliability, and improving health outcomes.