McKinsey - Boston, MA
posted 2 days ago
About the position
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. 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 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. You'll also have the opportunity to 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 in 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.
Responsibilities
- Collaborate with colleagues and clients to create new strategies across various projects.
- Expand current analytics capabilities and architect new strategies and applications.
- Drive processes for extracting and using data creatively.
- Create transformative business strategies through data measurement and manipulation.
- Apply advanced analytic and quantitative tools to derive business insights.
- Conduct deep analytics on client and external data.
- Lead team problem solving through analysis findings and insights.
- Support the development of knowledge for the firm's analytics group.
Requirements
- 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.
