Open Navigation Menu

Analytics

Observant, curious and focused, you dream in data and strive to make an impact. You’re able to understand complex topics and enjoy parsing through numbers to develop educated conclusions. You are confident and passionate about your findings, and an advocate for quality insights.

Our analytics colleagues work with clients to unearth data-based insights, identifying opportunities that drive holistic transformation. Through the use of the latest analytical techniques, we go beyond models and data to provide strategies that drive meaningful impact for clients. We provide expert assistance on issues ranging from strategy, design, implementation and capability building as well as ongoing support.

Explore Analytics roles at McKinsey

Data Engineer

As a data engineer, you will be a core member of the McKinsey analytics platform team responsible for extracting large quantities of data from our client’s IT systems. You’ll lay the groundwork for data analysis by building data solutions, installing database systems, and transforming and aggregating data based on our clients’ needs.

Deep Learning Specialist

As a deep learning specialist, you will analyze and evaluate data to develop innovative solutions for our clients. You will often be responsible for the entire analytical process, from planning and implementation to data interpretation and the transferring of capabilities to clients and colleagues.

Data Scientist

As data scientist, you’ll work in multi-disciplinary environments to provide real-world impact through data science solutions. You’ll help transform businesses and enhance performance across multiple industries including healthcare, automotive, energy and elite sport.

Data Engineer

As a data engineer, you will be a core member of the McKinsey analytics platform team responsible for extracting large quantities of data from our client’s IT systems. You’ll lay the groundwork for data analysis by building data solutions, installing database systems, and transforming and aggregating data based on our clients’ needs.

Deep Learning Specialist

As a deep learning specialist, you will analyze and evaluate data to develop innovative solutions for our clients. You will often be responsible for the entire analytical process, from planning and implementation to data interpretation and the transferring of capabilities to clients and colleagues.

Data Scientist

As data scientist, you’ll work in multi-disciplinary environments to provide real-world impact through data science solutions. You’ll help transform businesses and enhance performance across multiple industries including healthcare, automotive, energy and elite sport.

Explore all Analytics roles

I get to work on tough challenges, using complex techniques. I love it.”

Aaron

Data Scientist, Public Sector, San Francisco

As a Data Scientist, Aaron works to understand our clients’ toughest problems, finding ways to apply analytics to deliver the greatest value. This includes building and helping to implement intuitive tools that can be easily adopted and scaled across an entire organization with our coaching.

“The type of work we do here is really purposeful. You know you’re making a difference solving real-world challenges.”

Learn more about Aaron's role

Considerations before you apply

  1. Keywords
    Use keyword search to identify specific opportunities that match your experience.
  2. Qualifications
    Review qualifications and requirements in each job posting to confirm the position is a good fit for your skills.
  3. Languages
    Keep in mind that fluency in the local language—and fluency in English—is a requirement of most positions.

Curious about other opportunities McKinsey has to offer?

Explore our 500+ job listingsTake Our Careers Quiz