Data Science Analyst - Growth, Marketing & Sales
$112kMcKinsey & Company
Job ID: 109284Type of role: Full-timeInterest: Serve Clients / AnalyticsSkill group: N/ARegion: North AmericaLocations: Atlanta (United States) | Boston (United States) | Chicago (United States) | Dallas (United States) | Denver (United States) | Miami (United States) | New Jersey (United States) | New York (United States) | San Francisco (United States) | Seattle (United States) | Silicon Valley (United States) | Southern California (United States)Compensation Range: $112,000 - $112,000Posted (LinkedIn): 2026-06-04Created: 2026-06-04Apply: you'll work withDriving 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. When you join us, you will have: Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.A voice that matters: From day one, we value your ideas and contributions. You’ll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm’s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you’ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.What you'll doYou will collaborate with colleagues and clients to create new strategies across a wide platform of projects, from customer life-cycle management, MROI, pricing and promotions, marketing mix modeling, to analytic transformation. You will help to expand our current analytics capabilities and architect new strategies and applications within a dynamic innovative organization. You will shape the future of what data-driven organizations look like, drive processes for extracting and using that data in creative ways and create new lines of thinking within an infinite number of clients and situations, with an eye on optimizing every aspect of our clients’ marketing practices. Through the measurement, manipulation, reporting and dissemination of broad sets of data, you will create valuable, transformative business strategies. You’ll apply and advise teams on the state-of-the-art advanced analytic and quantitative tools and modeling techniques to derive business insights, solve complex business problems and improve decisions. You will be a core member of the consulting team, conducting deep analytics on a broad set of client and external data and playing a lead role in team problem solving through findings and insights from that analysis. You’ll also lead and support the development of knowledge for our firm’s analytics group. You may do this by creating a roadmap for a greater understanding of analytics and its impact on the consulting population or by partnering with other analytics consultants to ensure timely and effective methods on the extraction, assembly and transfer of broad, complex sets of data. You’ll be working in one of our offices in North America within our Growth, Marketing & Sales practice. The Growth, Marketing & Sales Practice strives to help clients in both consumer and business-to-business environments on a wide variety of marketing and sales topics. 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. Our Practice offers an exceptional opportunity to work at the intersection of marketing, sales and consulting. Focusing on issues like redefining marketing and sales operations and commercial transformation, our people help clients build capabilities and transform how companies go to market - moving them to customer centric organizations.Your backgroundUndergraduate or advanced degree in a quantitative discipline (i.e. statistics, mathematics, econometrics, operations research)1+ years of hands-on work experience developing and applying predictive models and other advanced statistical approaches in a corporate or consulting setting, preferably in a marketing and sales context; experience in B2B or B2C environments also preferredStrong academic qualifications, including advanced understanding/coursework in database management and math (linear, algebra, calculus)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 technologiesAdvanced programming skills in at least one of Python, R, JavaExperience linking multiple data platforms (social media, open, etc) and with data visualization tools (e.g., Tableau)Intellectual curiosity, along with excellent problem-solving and quantitative skills, including the ability to disaggregate issues, identify root causes and recommend solutionsAbility to independently own database development and decisions, balancing demands and deadlinesStrong people skills, team-orientation, and a professional attitudeDistinctive communications skills and the ability to communicate technical content to a non-technical audience
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