Healthcare Analytics Delivery Analyst

McKinsey & Company; Los Angeles (CA); Hybrid; USD 92,000 - 95,000; Full time

Job summary

McKinsey & Company is seeking a data engineer to support SHaPE analytics initiatives in the U.S. You will design and maintain data pipelines and models, translating business needs into scalable technical solutions.

You will work across client-service, delivery, and analytics teams, driving impactful outcomes. You will contribute to asset development, automate processes, and thrive in a fast-paced, learning-oriented environment with a strong emphasis on integrity and collaboration.

Qualifications

• Bachelor's degree required or equivalent; emphasis in engineering/CS/business.
• 1+ years of multi-team experience delivering high-quality outcomes in healthcare or tech.
• Proficiency with SQL, Databricks; experience with Python/PySpark is a plus.

Responsibilities

• Build and maintain data pipelines and structured data models for analytics.
• Collaborate with client stakeholders and cross‑functional teams to deliver scalable analytics solutions.
• Structure and enrich data to enable insights and support problem solving in an agile environment.
• Drive automation and continuous improvement in data assets and analytics products.

Skills

Problem solving

Team collaboration

Communication

Analytical thinking

Learning mindset

Education

Bachelor's degree (Engineering/CS/Business)

Master's degree is a plus

Tools

Excel

PowerPoint

Tableau

Power BI

Imply

Databricks

SQL

Python

PySpark

Job description

McKinsey & Company is seeking a data engineer to support SHaPE analytics initiatives in the U.S. You will design and maintain data pipelines and models, translating business needs into scalable technical solutions.

You will work across client-service, delivery, and analytics teams, driving impactful outcomes. You will contribute to asset development, automate processes, and thrive in a fast-paced, learning-oriented environment with a strong emphasis on integrity and collaboration.