Analytics Delivery Engineer - Healthcare Data

McKinsey

New York (NY)

Hybrid

USD 92,000 - 95,000

Full time

14 days+

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Job summary

McKinsey & Company in the United States is seeking a data engineering professional to support scalable analytics solutions within the SHaPE Software Delivery team. You will ingests and model client data, collaborate with diverse teams, and ensure high data quality and security across multiple engagements.

The role emphasizes building robust data pipelines, solving complex problems, and driving automation in a fast-paced environment. Travel up to 75% may be required based on client engagements.

Qualifications

  • Bachelor's degree in Engineering, Computer Science, Business, or related field (Master's a plus).
  • 1+ years of cross-team experience with strong problem-solving and communication.
  • Experience with data/BI tools and SQL; Databricks experience a plus; Python/PySpark is a plus.
  • Ability to translate business requirements into technical solutions.
  • Comfort in fast-paced, ambiguous environments with evolving priorities.
  • Experience in data engineering, data intelligence, analytics, or related areas; knowledge of data modeling and software development best practices.

Responsibilities

  • Support scalable analytics solutions on a secure, proprietary data platform.
  • Collaborate with client stakeholders and cross-functional teams to deliver data objectives.
  • Ingest, transfer, and transform client data; ensure data quality, security, and reliability through robust ingestion, encryption, QA, and transformation processes.
  • Build and maintain data pipelines and structured data models for advanced analytics use cases.
  • Contribute to problem-solving sessions to design and adopt analytics solutions; drive automation and continuous improvement.

Skills

Data engineering
Problem solving
Effective communication
Team collaboration
Adaptability

Education

Bachelor's degree or higher
Master's degree is a plus

Tools

Excel
PowerPoint
Tableau
Power BI
Imply
SQL
Databricks
Python
PySpark

Job description

McKinsey & Company in the United States is seeking a data engineering professional to support scalable analytics solutions within the SHaPE Software Delivery team. You will ingests and model client data, collaborate with diverse teams, and ensure high data quality and security across multiple engagements.

The role emphasizes building robust data pipelines, solving complex problems, and driving automation in a fast-paced environment. Travel up to 75% may be required based on client engagements.

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