Data Science Analyst - Growth, Marketing & Sales

Analytics

Data Science Analyst - Growth, Marketing & Sales
Job ID: 93917

Are you driven by the opportunity to tackle complex challenges and work alongside top leaders?

If so, you've come to the right place.

Who You'll Work With

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.

Your impact within our firm

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'll apply and advise teams on the state-of-the-art advanced analytic and quantitative tools and modeling techniques in order 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.

Your qualifications and skills

• Undergraduate or advanced degree in a quantitative discipline (i.e. statistics, mathematics, econometrics, operations research)
• Strong academic qualifications, including advanced understanding/coursework in database management and math (linear, algebra, calculus)
• 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 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
• Ability to independently own database development and decisions, balancing demands and deadlines
• Distinctive communications skills and ability to communicate technical content in an easy to understand way
• Strong people skills, team-orientation, and a professional attitude

FOR U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity/Affirmative Action 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.