Data Science Senior Analyst - Growth, Marketing & Sales

McKinsey & Company

Seattle, WA

Full Time

Mid Level

20 days ago

Job Description

About the Role

Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward. In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues-at all levels-will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won't find anywhere else.

Key Responsibilities

Collaborate with colleagues and clients to create new strategies across a wide platform of projects, including customer life-cycle management, MROI, pricing and promotions, marketing mix modeling, and analytic transformation.
Help expand the firm's analytics capabilities and architect new strategies and applications within a dynamic, innovative organization.
Shape the future of data-driven organizations by driving processes for extracting and using data in creative ways.
Create valuable, transformative business strategies through measurement, manipulation, reporting, and dissemination of broad sets of data.
Apply and advise teams on advanced analytic and quantitative tools and modeling techniques to derive business insights, solve complex problems, and improve decisions.
Conduct deep analytics on client and external data and play a lead role in team problem solving through findings and insights.
Support the development of knowledge within the firm's analytics group, including creating roadmaps for understanding analytics impact and partnering with other analytics consultants.

Requirements

Undergraduate or advanced degree in a quantitative discipline (e.g., Statistics, Mathematics, Econometrics, Operations Research).
Strong academic qualifications, including advanced coursework in database management and math (Linear Algebra, Calculus).
2+ years of hands-on experience developing and applying predictive models and advanced statistical approaches in a corporate or consulting setting, preferably in marketing and sales.
Experience in B2B or B2C environments is preferred.
Proficiency in statistical data analysis and data mining packages (e.g., R, SAS, SPSS, Alteryx, MatLab, STATA, Excel).
Advanced knowledge of data management tools including SQL/RDBMS, NoSQL (e.g., MongoDB), Hadoop, and/or other big data technologies.
Advanced programming skills in at least one of Python, R, Java, with experience linking multiple data platforms and data visualization tools (e.g., Tableau).
Intellectual curiosity, excellent problem-solving and quantitative skills, including ability to disaggregate issues, identify root causes, and recommend solutions.
Ability to independently own database development and decisions, balancing demands and deadlines.
Strong communication skills and ability to explain technical content clearly.
Strong people skills, team orientation, and a professional attitude.
Ability to travel up to 75%.

Nice to Have

Experience in B2B or B2C environments.

Qualifications

Degree in a quantitative discipline such as Statistics, Mathematics, Econometrics, or Operations Research.

Benefits & Perks

Competitive salary based on location, experience, and skills.
Comprehensive benefits package including medical, dental, mental health, and vision coverage for employees and their families.

Working at McKinsey & Company

Our learning and apprenticeship culture, backed by structured programs, emphasizes growth, feedback, and ownership of one's development. We value diverse perspectives and encourage innovative ideas. With colleagues across 65+ countries and over 100 nationalities, our firm's diversity fuels creativity and collaboration. We foster an environment where ideas matter, and every contribution can make a tangible impact.

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