Senior Business Intelligence Engineer

Humana
•$89,000 - $121,400•Remote

About The Position

The Senior Business Intelligence Engineer supports reporting, data engineering, dashboard development, Power Platform solutions, and ad hoc analytics. The role uses internal and external data to deliver actionable insights and scalable solutions for business partners, and handles moderately complex to complex assignments in an ambiguous environment. The position develops and supports the tools, datasets, pipelines, reports, dashboards, applications, and automated workflows used to collect, integrate, analyze, and present data. It maintains and enhances reporting capabilities, supports recurring and ad hoc business needs, and contributes to Databricks modernization and emerging AI/ML initiatives. The role requires strong SQL, Power BI, Power BI Desktop, Power BI Report Builder, PowerApps, Power Automate, and Databricks data engineering skills. Python/PySpark, healthcare data, and AI/ML development in Databricks are preferred. This is a remote position with occasional travel to Humana offices for training or meetings. Home-based work requires a dedicated space that protects member PHI/HIPAA information and internet service meeting the stated speed requirements. Scheduled hours are 40 per week.

Requirements

  • Undergraduate degree.
  • At least 5 years of SQL experience, including writing complex queries to extract, transform, summarize, and analyze data from multiple sources.
  • At least 2 years of Databricks data engineering experience, including building and maintaining pipelines, workflows, and data transformation processes.
  • Experience developing dashboards, semantic models, and paginated reports using Power BI, Power BI Desktop, and Power BI Report Builder or similar BI tools.
  • Experience building or supporting PowerApps solutions.
  • Experience building or supporting workflow automation solutions using Power Automate.
  • Demonstrated analytical experience, including working through ambiguous business requests, performing data discovery, and developing actionable solutions.
  • Strong verbal and written communication skills and the ability to collaborate effectively with technical and non-technical stakeholders.
  • For home-based work, internet service must meet the stated minimum download and upload speeds; a dedicated workspace without ongoing interruptions is required to protect member PHI/HIPAA information.

Nice To Haves

  • Advanced degree.
  • Experience with Python and/or PySpark for data engineering, analytics, automation, or AI/ML use cases.
  • Exposure to AI/ML, generative AI, or retrieval-augmented generation solutions, preferably in Databricks.
  • Experience with healthcare data, including claims-related or operational data.
  • Experience creating and maintaining automated ETL/ELT processes and recurring reporting datasets.
  • Experience supporting data platform modernization, migration, or lakehouse-based analytics initiatives.

Responsibilities

  • Maintain and enhance data pipelines, reporting datasets, dashboard refresh processes, and recurring analytics assets.
  • Partner with business and technical stakeholders to understand needs and translate ambiguous requests into scalable data, reporting, application, and workflow automation solutions.
  • Research source systems, data definitions, ownership, and lineage to support intake requests and solution development.
  • Write complex SQL queries to extract, transform, summarize, and analyze data.
  • Build and maintain dashboards, paginated reports, and analytical products using Power BI, Power BI Desktop, and Power BI Report Builder.
  • Develop and support PowerApps solutions that improve business workflows and user access to insights.
  • Develop and support Power Automate flows for business processes, notifications, approvals, and reporting-related automation.
  • Build and support Databricks data engineering solutions, including pipelines, transformations, workflows, and automation.
  • Support modernization efforts as data processes expand within Databricks.
  • Contribute to emerging AI/ML and generative AI use cases, including solutions using structured and unstructured data.
  • Use sound judgment to determine technical approaches and deliver solutions with limited direction.

Benefits

  • Medical, dental, and vision benefits.
  • 401(k) retirement savings plan.
  • Paid time off, company holidays, and personal holidays.
  • Paid parental and caregiver leave.
  • Short-term and long-term disability coverage.
  • Life insurance.
  • Bonus incentive plan.
  • Bi-weekly internet expense payment for associates who live and work from home in California, Illinois, Montana, or South Dakota.
  • Telephone equipment for home or hybrid home/office associates appropriate to business requirements.
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