Business Intelligence Lead

Humana

1d•Remote

About The Position

Humana’s Enterprise Growth organization is seeking a Business Intelligence Lead who has strong experience with SQL, Power BI and Python/PySpark to join the Growth Analytics & AI Team. This is a remote role working anywhere in the US. As the Business Intelligence Lead, you will solve complex business problems and issues using data from internal and external sources to provide insight to decision-makers.

Requirements

Bachelor's degree and 5 or more years of technical experience in data analysis OR Master's degree and 2 years of experience
Advanced experience working with big and complex data sets within large organizations
5+ years' experience with SQL (ADLS, SQL Server, and Oracle) experience with cleaning, manipulating, enriching, and analyzing data
5+ years of Power BI experience with DAX, Power Query M, dataflows, and visualizations (both custom and stock)
Experience with PySpark, via Databricks notebooks, in the following capacities: ETL, cleaning, manipulating, enriching, analyzing, NLP and/or GenAI coding
Proven ability to work with cross-functional teams and translate requirements between business, project management and technical projects or programs
Proficiency in verbal/written communication to senior and executive leadership

Nice To Haves

Advanced Degree in a quantitative discipline, such as Mathematics, Economics, Finance, Statistics, Computer Science, Engineering or related field
Microsoft Fabric experience
Data Orchestration (Databricks Workflows; Fabric Data Factory/Azure Data Factory; or equivalent)
Power Apps familiarity with canvas/model-driven app development
Power Automate experience automating routine, quotidian tasks
Databricks & Synapse Analytics experience

Responsibilities

Clean, manipulate, enrich, and analyze data across ADLS, SQL Server, and Oracle
Establish curated, reusable datasets and semantic layers to power analytics and self-service BI
Build enterprise-grade Power BI solutions with DAX, Power Query M, dataflows, and both custom and stock visualizations
Optimize models for performance; implement governance, security (RLS/OLS), and best practices for adoption
Design and operate ETL/ELT processes in Python (PySpark) for large-scale data cleaning, transformation, enrichment, and analysis
Develop applied NLP and GenAI features as part of analytics products and workflows
Orchestrate data pipelines using Databricks Workflows and Fabric Data Factory/Azure Data Factory (or equivalent)
Manage schedules, dependencies, monitoring, and alerting for reliable operations
Implement prompt engineering & refinement, embeddings, RAG (retrieval-augmented generation), and evaluation/guardrails to deliver safe, measurable outcomes
Build or guide Power Apps (canvas/model-driven) to operationalize insights and streamline business workflows
Use Power Automate to automate routine, quotidian tasks and reduce manual work across teams
Partner with business stakeholders and executives to shape segment-specific BI/AI strategies and roadmaps
Document architecture, lineage, and runbooks; mentor practitioners on best practices
Use your skills to make an impact