Senior Analyst - Data Science, Marketing & Sales

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

WHO YOU'LL WORK WITH

You’ll work with our Marketing & Sales practice in our Seoul office.

As a part of this practice, you’ll focus on developing marketing and sales strategies for leading companies of all major industries including consumer goods, financial services, retail, chemicals & basic materials, and logistics. Our clients benefit from our experience in core areas of marketing such as branding, customer insights, marketing ROI, digital marketing, CLM pricing and sales and channel management.

When you join McKinsey, you are joining a firm that will challenge you and invest in your professional development. In this role, you will work on the best teams to help the best organizations in the world – in private, public, and social sectors – solve their most difficult problems. You will also work with many experts, from data scientists and researchers to software and app designers.

WHAT YOU'LL DO

You will assist McKinsey clients through conducting the quantitative analysis across the spectrum of marketing and sales including segmentation, propensity modeling, CLM, digital marketing, media mix modeling and pricing analytics.

In this role, you will conduct deep analytics on client and external data, playing a significant role in team problem solving through the findings and insights from analysis. You will advance McKinsey’s overall knowledge base by providing analytical rigor and problem solving to our proprietary knowledge investments. You will also focus on developing new analytical approaches and techniques. You will operate as part of a wider firm community, supporting the development of both the analytical group as well as a greater understanding of analytics and results in the consulting population.

QUALIFICATIONS

• Advanced degree in computer science or quantitative discipline (statistics or mathematics)

• 4+ years of experience working with SQL and Python or R programming 

• Ability to manage and query large databases including setting up and maintaining gigabyte to terabyte size databases of customer data, performing data integration, manipulation, and querying, and provide data mining and analytical support 

• Strong understanding of advanced analytics or machine learning concepts for customer analytics, including segmentation, cluster analysis, consumer behavior, pricing analytics, customer insights, etc.

• Track record of strong problem-solving, requirement gathering and recommending solutions

• Driven by numerical or statistical approaches

• Ability to work well in a flexible and collaborative environment

• Ability to work on more than one project at a time

• Strong communications skills (in person or written) to facilitate discussions and conduct training

• Fluent in English and Korean
• Flexible to travel for work across Asia (may/may not include 50-70% of travel in a year)