Remote Senior BI Engineer: Data Modeling and Dashboards

Humana Inc

Austin (TX)

Remote

USD 89,000 - 121,000

Full time

2 days ago
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Job summary

Humana Inc is seeking a Senior Business Intelligence Engineer to solve complex business problems using data from internal and external sources to provide actionable insights to decision-makers. The role involves designing data models and front-end interfaces, with a strong emphasis on Power BI and Power Apps.

This fully remote position operates on CST/EST hours. Candidates should have a strong analytics background, Databricks experience, and a willingness to commit to 12 months in the role.

Qualifications

  • Bachelor's Degree and at least 3 years of analytics experience OR a Master's and at least 1 year.
  • Intermediate Python/PySpark experience in Databricks.
  • Experience designing data models, taxonomies, schemas, and versioning rules.
  • Intermediate Power BI + Power Apps incl. DAX, semantic modeling, performance tuning.
  • Frontend UI development with TypeScript (Angular/React) or Python (Streamlit/Dash).
  • Role is fully remote but follows CST/EST business hours.
  • Must commit to remaining in role for 12 months before applying to other Humana opportunities.

Responsibilities

  • Analyze complex data to provide insight to decision-makers.
  • Design, integrate, and present data from internal and external sources.
  • Influence department strategy and define technical approaches for project components.

Skills

Python/pyspark
Data modeling
Power BI
Front-end UI

Education

Bachelor's degree + 3+ yrs OR Master's + 1+ yr

Tools

Databricks
Power BI
Power Apps
DAX
TypeScript
React/Angular

Job description

Humana Inc is seeking a Senior Business Intelligence Engineer to solve complex business problems using data from internal and external sources to provide actionable insights to decision-makers. The role involves designing data models and front-end interfaces, with a strong emphasis on Power BI and Power Apps.

This fully remote position operates on CST/EST hours. Candidates should have a strong analytics background, Databricks experience, and a willingness to commit to 12 months in the role.

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