Senior Analytics Solutions Engineer (Healthcare)

Location: Remote nationwide in the United States; occasional travel to hirify.global offices for training or meetings may be required.

Salary: $80,900–$110,300 per year, plus eligibility for a bonus incentive plan.

Company

hirify.global is a healthcare company providing integrated senior-focused primary care, home healthcare, pharmacy, hospice, and other whole-person health services.

What you will do

• Design, develop, and maintain standardized reporting and analytics solutions supporting the CMS GLP-1 Bridge demonstration and related programs.
• Build analytics-ready data solutions in Azure Databricks and SQL, including transformation, modeling, validation, and reusable business logic.
• Develop Power BI reports, semantic models, measures, visualizations, reusable datasets, and standardized metrics for program and operational performance.
• Partner with business, clinical, pharmacy, analytics, and technology stakeholders to translate complex requirements into scalable solutions.
• Apply data quality, governance, documentation, and visualization practices to make analytics products reliable and maintainable.
• Explore AI-enabled and conversational analytics, including Genie One, and contribute to capabilities across Power BI, Databricks, semantic modeling, analytics engineering, and AI.

Requirements

• At least 5 years of professional experience in business intelligence, analytics, data engineering, data visualization, or a related discipline, including building analytical solutions for business users.
• At least 3 years of SQL experience extracting, transforming, analyzing, and validating data.
• At least 3 years of experience with Power BI or a comparable data visualization and business intelligence platform, including reports, visualizations, data models, or business metrics.
• Ability to transform complex data into accessible, actionable insights for business leaders and stakeholders.
• Experience developing standardized, recurring reporting and analytics solutions for ongoing business or operational needs.
• Ability to independently translate complex requirements into analytical solutions and communicate effectively with technical and non-technical teams.

Nice to have

• Master's degree in Analytics, Data Science, Statistics, Mathematics, Computer Science, or a related field.
• At least 2 years of hands-on experience with Azure Databricks or a comparable cloud data and analytics platform, including transformation, analytical modeling, or analytics- and AI-ready datasets.
• Experience with Python and/or PySpark for data processing, transformation, automation, or analytics development.
• Experience developing semantic models, reusable analytical datasets, or standardized reporting frameworks.
• Experience with Genie One, Databricks AI/BI, conversational analytics, AI agents, or similar AI-enabled analytics capabilities.
• Healthcare or managed care analytics experience, including Medicare Part D, pharmacy claims, PBM, CMS demonstrations, or regulatory reporting.
• Experience with data governance practices or technologies, Microsoft analytics tools, and/or Microsoft or Databricks certifications.

Culture & Benefits

• Remote work with a dedicated workspace required to protect member PHI and HIPAA information.
• Home internet must provide at least 25 Mbps download and 10 Mbps upload speeds.
• Medical, dental, and vision benefits; 401(k) retirement savings plan; paid time off and holidays; paid parental and caregiver leave.
• Short- and long-term disability insurance, life insurance, and other wellness and healthcare benefits.

Hiring process

• Applications are accepted until November 2, 2026.