Healthcare Analytics Delivery Specialist

McKinsey & Company; Denver (CO); Hybrid; USD 92,000 - 95,000; Full time

Benefits offered by this job

Continuous learning

Voice that matters

Global community

World-class benefits

Job summary

McKinsey & Company in the United States seeks a data engineer to design and operate scalable analytics on a secure data platform within the SHaPE Software Delivery team. You will build pipelines, enforce quality, and collaborate with client stakeholders and internal teams to deliver insights.

Working in a cross-functional, agile environment, you will transform data into actionable analytics, support data modeling, and drive continuous improvement through automation while traveling up to 75% as

Qualifications

• Bachelor's degree in Engineering, Computer Science, Business, or a related field; Master's degree is a plus.
• 1+ years of professional experience delivering analytics in healthcare or technology.
• Proficiency with SQL and data/BI tools; Python/PySpark is a plus.

Responsibilities

• Support scalable, high-quality analytics solutions on a secure data platform.
• Collaborate with client stakeholders and cross-functional teams to deliver data delivery objectives.
• Ingest, transfer, and model client data while ensuring data quality and security.
• Build and maintain data pipelines and structured data models for advanced analytics.
• Participate in agile, cross-functional problem-solving sessions to improve analytics assets.

Skills

Data engineering

SQL

Python/PySpark

Client communication

Team collaboration

Problem solving

Healthcare domain knowledge

Education

Bachelor's degree in Engineering, Computer Science, or related field

Master's degree is a plus

Tools

Tableau

Power BI

Databricks

Excel

Job description

McKinsey & Company in the United States seeks a data engineer to design and operate scalable analytics on a secure data platform within the SHaPE Software Delivery team. You will build pipelines, enforce quality, and collaborate with client stakeholders and internal teams to deliver insights.

Working in a cross-functional, agile environment, you will transform data into actionable analytics, support data modeling, and drive continuous improvement through automation while traveling up to 75% as