Remote Analytics Solutions Engineer - Health AI & BI

Humana, Inc.

Boston (MA)

À distance

USD 81 000 - 110 000

Plein temps

Il y a 6 jours
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Avantages offerts par ce poste

Bonus incentive plan
Competitive benefits

Résumé du poste

Humana, Inc. is seeking a Senior Analytics Solutions Engineer to design, build, and maintain standardized reporting and analytics solutions for Pharmacy Analytics and Consulting.

You will work across Azure Databricks and Power BI to transform healthcare data into scalable reporting products, reusable data models, and trusted business metrics. This role sits at the intersection of analytics engineering, data visualization, semantic modeling, and AI-enabled analytics, and involves collaborating

Qualifications

  • 5+ years in BI, analytics, data engineering, or related field.
  • 3+ years using SQL to extract, transform, and validate data.
  • 3+ years using Power BI to develop reports and metrics.
  • Ability to translate complex requirements into analytical solutions.

Responsabilités

  • Design, develop, and maintain standardized reporting and analytics solutions.
  • Build analytics-ready data solutions using Azure Databricks and SQL.
  • Develop and maintain Power BI reports, semantic models, and visuals.
  • Create reusable datasets and reporting patterns for recurring needs.
  • Collaborate with business, clinical, pharmacy, analytics, and technology stakeholders.
  • Apply data governance, documentation, and quality practices.

Connaissances

BI analytics
Data storytelling
Analytical thinking

Formation

Master’s degree in Analytics or related field

Outils

Azure Databricks
SQL
Power BI
Python/PySpark

Description du poste

Humana, Inc. is seeking a Senior Analytics Solutions Engineer to design, build, and maintain standardized reporting and analytics solutions for Pharmacy Analytics and Consulting.

You will work across Azure Databricks and Power BI to transform healthcare data into scalable reporting products, reusable data models, and trusted business metrics. This role sits at the intersection of analytics engineering, data visualization, semantic modeling, and AI-enabled analytics, and involves collaborating

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