Consultancies

Senior Data Science Analyst - Growth, Marketing & Sales

at McKinsey & Company

JuniorNo visa sponsorshipData Science/AI/ML

Posted 6 days ago

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Compensation: $125,000 – $130,000 USD
City: Boston, New York City
Country: United States

You will collaborate with colleagues and clients to create new strategies across projects from customer lifecycle management, MROI, pricing and promotions, marketing mix modeling, to analytic transformation. You will expand analytics capabilities, architect new strategies and applications, and shape how data-driven organizations operate to optimize clients' marketing practices. You will conduct deep analytics on a broad set of client and external data, lead problem solving through findings, and help develop knowledge for McKinsey's analytics group. You’ll work in a North American office within our Growth, Marketing & Sales practice.

Analytics

Senior Data Science Analyst - Growth, Marketing & Sales

Job ID: 94346

Boston
New Jersey
New York City

Apply Now Apply Later

Do you want to work on complex and pressing challenges—the kind that bring together curious, ambitious, and determined leaders who strive to become better every day? If this sounds like you, you’ve come to the right place.

Your Impact

You 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.

In this role, 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 state-of-the-art advanced analytic and quantitative tools and modeling techniques to derive business insights, solve complex business problems and improve decisions.

As a core member of the consulting team, you’ll conduct deep analytics on a broad set of client and external data and play 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 Growth

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.

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.

Your qualifications and skills

Undergraduate or advanced degree in a quantitative discipline (i.e. Statistics, Mathematics, Econometrics, Operations Research)
2+ 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
Strong academic qualifications, including advanced understanding/coursework in database management and math (Linear, Algebra, Calculus)
Experience in B2B or B2C environments also 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 experience 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 solutions
Ability to independently own database development and decisions, balancing demands and deadlines
Strong people skills, team-orientation, and a professional attitude
Distinctive communications skills and ability to communicate technical content in an easy-to-understand way
Ability to travel up to 75%

Please review the additional requirements regarding essential job functions of McKinsey colleagues.

Our unwavering commitment to integrity drives everything we do, guiding us to always act in the best interests of our clients, our people, and the communities we serve.

Industries

High Tech

Capabilities

Marketing & Sales

Apply Now Apply Later

FOR U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by applicable law.

Certain US jurisdictions require McKinsey & Company to include a reasonable estimate of the salary for this role. For new joiners for this role in the United States, including all office locations where the job may be performed, a reasonable estimated range is $125,000 - $130,000 USD —to help you understand what you can expect. This reflects our best estimate of the lowest to highest [salary/hourly wages] for this role at the time of this posting, ensuring you have a clear picture right from the start, though it's important to remember that actual salaries may vary. Factors like your office location, your unique blend of experience and skills, start date and our current organizational needs all play a part in determining the final figure. Certain roles are also eligible for bonuses, subject to McKinsey's discretion and based on factors such as individual and/or organizational performance.

Additionally, we provide a comprehensive benefits package that reflects our commitment to the wellness of our colleagues and their families. This includes medical, mental health, dental and vision coverage, telemedicine services, life, accident and disability insurance, parental leave and family planning benefits, caregiving resources, a generous retirement contributions program, financial guidance, and paid time off.

FOR NON-U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity employer. For additional details regarding our global EEO policy and diversity initiatives, please visit our McKinsey Careers and Diversity & Inclusion sites.

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Job Skill Group - N/A
Job Skill Code - AJPS - Senior Analyst
Function - Marketing & Sales
Industry - High Tech
Post to LinkedIn - Yes
Posted to LinkedIn Date - Thu Dec 11 00:00:00 GMT 2025
LinkedIn Posting City - Boston
LinkedIn Posting State/Province - Massachusetts
LinkedIn Posting Country - United States
LinkedIn Job Title - Senior Data Science Analyst - Growth, Marketing & Sales
LinkedIn Function - Consulting
LinkedIn Industry - Consumer Goods;Retail
LinkedIn Seniority Level - Entry level

Your Impact

You’ll be working in one of our offices in North America within our Growth, Marketing & Sales practice.

Your Growth

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.

Your qualifications and skills

Undergraduate or advanced degree in a quantitative discipline (i.e. Statistics, Mathematics, Econometrics, Operations Research)
2+ 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
Strong academic qualifications, including advanced understanding/coursework in database management and math (Linear, Algebra, Calculus)
Experience in B2B or B2C environments also 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 experience 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 solutions
Ability to independently own database development and decisions, balancing demands and deadlines
Strong people skills, team-orientation, and a professional attitude
Distinctive communications skills and ability to communicate technical content in an easy-to-understand way
Ability to travel up to 75%