Senior Analytics Solutions Engineer

Humana

2d • $80,900 - $110,300 • Remote

About The Position

Humana’s Pharmacy Analytics and Consulting organization is hiring a Senior Analytics Solutions Engineer for its Visual Insights team. The role designs, builds, and maintains standardized reporting and analytics solutions that support ongoing program operations and business decision-making. Working across Azure Databricks and Power BI, the engineer transforms complex healthcare data into scalable reporting products, reusable data models, and consistent business metrics. The position also contributes to analytics engineering, data visualization, semantic modeling, and AI-enabled analytics, including exploration of capabilities such as Genie One.

The engineer will support the CMS GLP-1 Bridge demonstration and future related programs, creating reliable and maintainable analytical products through data quality, governance, documentation, and visualization practices. The role works with business, clinical, pharmacy, analytics, and technology stakeholders to translate evolving requirements into scalable solutions and exercises considerable independence in determining approaches for moderately complex to complex assignments.

This is a remote position. Occasional travel to Humana offices for training or meetings may be required. Home or hybrid home/office employees must have internet service with at least 25 Mbps download and 10 Mbps upload speeds and work from a dedicated space that protects member PHI/HIPAA information. The position is scheduled for 40 hours per week. The stated starting base-pay range is $80,900–$110,300 per year, with eligibility for a bonus incentive plan. The application deadline is November 2, 2026.

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 experience using SQL to extract, transform, analyze, and validate data.
• At least 3 years of experience using Power BI or a comparable data visualization and business intelligence platform, including developing 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 across technical and non-technical teams.

Nice To Haves

• 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 data transformation, analytical modeling, or development of analytics- and AI-ready datasets.
• Experience using 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.
• Experience with healthcare or managed care analytics, including Medicare Part D, pharmacy claims, PBM, CMS demonstrations, or regulatory reporting.
• Experience with data governance practices or technologies, Microsoft analytics tools, and/or relevant Microsoft or Databricks certifications.

Responsibilities

• Design, develop, and maintain standardized reporting and analytics solutions for the CMS GLP-1 Bridge demonstration and future related programs.
• Build analytics-ready data solutions using Azure Databricks and SQL, including data transformation, modeling, validation, and reusable business logic.
• Develop and maintain Power BI reports, semantic models, measures, and visualizations that provide reliable and consistent views of program performance and operational activity.
• Create reusable datasets, metrics, and reporting patterns to standardize recurring analytical needs and reduce reliance on manual and ad hoc reporting.
• Partner with business, clinical, pharmacy, analytics, and technology stakeholders to translate complex and evolving requirements into scalable analytical solutions.
• Apply data quality, governance, documentation, and visualization practices to make analytical products reliable, understandable, and maintainable.
• Explore and apply AI-enabled and conversational analytics, including capabilities such as Genie One, to improve user interaction with standardized and governed data.
• Contribute to team capabilities across Power BI, Azure Databricks, semantic modeling, analytics engineering, and AI.
• Independently determine technical approaches and solutions for moderately complex to complex assignments.

Benefits

• Medical insurance
• Dental insurance
• Vision insurance
• 401(k) retirement savings plan
• Paid time off
• Company holidays
• Personal holidays
• Paid parental leave
• Paid caregiver leave
• Short-term disability
• Long-term disability
• Life insurance
• Bonus incentive plan
• Other well-being and personal wellness benefits

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed