Description
As a Senior Analytics Solutions Engineer within Humana's Pharmacy Analytics and Consulting organisation, you will help design, build, and maintain standardised reporting and analytics solutions that support ongoing program operations and business decision-making.
You will work across Azure Databricks and Power BI to transform complex healthcare data into scalable reporting products, reusable data models, and consistent business metrics.
Responsibilities:
- Design, develop, and maintain standardised reporting and analytics solutions supporting the CMS GLP-1 Bridge demonstration and future related programs.
- Build analytics-ready data solutions using Azure Databricks and SQL, including data transformation, modelling, validation, and reusable business logic.
- Develop and maintain Power BI reports, semantic models, measures, and visualisations that provide reliable and consistent views of program performance and operational activity.
- Create reusable datasets, metrics, and reporting patterns that standardise 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 visualisation practices that make analytical products reliable, understandable, and maintainable.
- Explore and apply AI-enabled and conversational analytics, including capabilities such as Genie One, to improve how users interact with standardised and governed data.
- Contribute to evolving team capabilities across Power BI, Azure Databricks, semantic modelling, analytics engineering, and AI.
- Exercise considerable independence in determining technical approaches and solutions for moderately complex to complex assignments.
Requirements:
- 5 or more years of professional experience in business intelligence, analytics, data engineering, data visualisation, or a related discipline, including building analytical solutions for business users.
- 3 or more years of experience using SQL to extract, transform, analyse, and validate data.
- 3 or more years of experience using Power BI or a comparable data visualisation and business intelligence platform, including developing reports, visualisations, data models, or business metrics.
- Ability to transform complex data into accessible, actionable insights for business leaders and stakeholders.
- Experience developing standardised, 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.
Preferred Qualifications:
- Master's degree in Analytics, Data Science, Statistics, Mathematics, Computer Science, or a related field.
- 2 or more years of hands-on experience with Azure Databricks or a comparable cloud data and analytics platform, including data transformation, analytical modelling, 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 standardised 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.
Benefits:
- Medical, dental, and vision benefits.
- 401(k) retirement savings plan.
- Time off (including paid time off, company and personal holidays, paid parental and caregiver leave).
- Short-term and long-term disability.
- Life insurance.
Salary: $80,900 - $110,300 per year