Data Delivery Analyst: Analytics & Pipelines

McKinsey; Atlanta (GA); Hybrid; USD 92,000 - 95,000; Full time

Job summary

McKinsey & Company is seeking a data engineering professional to support scalable analytics on a secure data platform within the SHaPE Software Delivery team. You will work with client stakeholders and diverse teams across geographies to ingest, transform, and model data for advanced analytics use cases.

You will contribute to delivering analytics products in a fast‑paced, agile environment, emphasizing data quality, security, and reliability, while collaborating across disciplines to drive

Qualifications

• Bachelor's degree in Engineering, Computer Science, Business, or a related field; Master's degree is a plus
• 1+ years of professional experience (including internships) working across teams, demonstrating strong problem‑solving skills and effective communication, with a track record of delivering high‑quality, timely outcomes; preferably in the healthcare or technology industry
• Working knowledge of tools such as Excel, PowerPoint, and data/BI tools (e.g., Tableau, Power BI, Imply) along with proficiency in SQL with Databricks is required; Hands‑on experience with Python and/or similar scripting languages like PySpark is a plus
• Proven ability to translate business requirements into technical solutions and manage workload effectively
• Comfortable working in fast‑paced, ambiguous environments and adapting to evolving priorities
• Demonstrated ability to collaborate effectively and lead by example in team settings
• Intellectually curious, with a proactive approach to learning and continuous improvement
• Experience in data engineering, data intelligence, application/database development, or analytics, with a solid understanding of data modeling principles (database design, entity relationships, unique identifiers) and software development best practices, including modularization, testing, and refactoring
• There is a mixture of remote and on‑site work; travel requirements fluctuate based on client engagements. You should be willing and able to travel up to 75% when needed
• Excellent written and verbal communication skills, with the ability to facilitate discussions and collaborate effectively with global, cross‑functional teams across diverse disciplines, cultures, and time zones

Responsibilities

• Support scalable analytics solutions using a secure, proprietary data platform.
• Join SHaPE Software Delivery in the U.S., supporting multiple client engagements.
• Collaborate across teams to identify, ingest, and transfer client data with high quality, security, and reliability.
• Build data pipelines and structured data models to enable analytics use cases.
• Deliver impactful analytics products and drive process improvements through automation and innovation.

Skills

Problem solving

Communication

Team collaboration

Adaptability

Fast-paced environment

Education

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

Master's degree is a plus

Tools

Tableau

Power BI

Imply

Databricks

Python

PySpark

Job description

McKinsey & Company is seeking a data engineering professional to support scalable analytics on a secure data platform within the SHaPE Software Delivery team. You will work with client stakeholders and diverse teams across geographies to ingest, transform, and model data for advanced analytics use cases.

You will contribute to delivering analytics products in a fast‑paced, agile environment, emphasizing data quality, security, and reliability, while collaborating across disciplines to drive