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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.

Key Role Functions

Data Engineering & SQL

• 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

Power BI (Advanced)

• 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

Python & PySpark

• 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

Data Orchestration

• Orchestrate data pipelines using Databricks Workflows and Fabric Data Factory/Azure Data Factory (or equivalent)

• Manage schedules, dependencies, monitoring, and alerting for reliable operations

GenAI/LLM Development

• Implement prompt engineering & refinement, embeddings, RAG (retrieval-augmented generation), and evaluation/guardrails to deliver safe, measurable outcomes

Power Platform

• 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

Leadership & Collaboration

• 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
 

Required Qualifications

• 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

Preferred Qualifications

• 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

Additional Information

• While this role is 100% remote, it will operate on CST/EST standard business hours.

• This role is not eligible for work visa sponsorship.

To ensure Home or Hybrid Home/Office employees’ ability to work effectively, the self-provided internet service of Home or Hybrid Home/Office employees must meet the following criteria:

• At minimum, a download speed of 25 Mbps and an upload speed of 10 Mbps is recommended; wireless, wired cable or DSL connection is suggested

• Satellite, cellular and microwave connection can be used only if approved by leadership

• Employees who live and work from Home in the state of California, Illinois, Montana, or South Dakota will be provided a bi-weekly payment for their internet expense.

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