YOUR IMPACTYour work will include a broad set of responsibilities to drive internal data science and product development teams, along with client facing roles across the following topics.
You will focus on Innovation Leadership and help drive an innovation agenda for CPG Analytics across sciences, talent and tools by defining analytics use cases and aligning with a partner stakeholder group on the prioritization. This includes contributing to the roadmap for analytical code innovation, including bringing in additional analytical features, use of alternative modeling or AI/ML approaches and automation of Analytics at scale. Driving and overseeing some of the key architectural decisions as they relate to Analytics, from modeling to forecasting to optimization. Evaluating the benefits and risks of alternative modeling platforms and technologies and making recommendations for future use.
You will provide expert leadership in client projects through engaging directly with clients and consulting teams to bring expertise to the specific engagement. Examples include working with consulting teams to shape analytics approach, review data sciences insights, and help finalize client facing recommendations to optimize impact of insight. Developing client specific recommendations on project approach and drawing from insights across clients to support proposal phases. Coaching clients, consulting team members and Periscope leads to drive knowledge and adoption of analytical best practices for the greatest impact.
You will work with our Periscope Retail and CPG solutions teams to drive analytical innovation while also engaging clients & McKinsey consulting teams with in-project expert leadership. You will have the opportunity to drive industry defining innovation and apply that innovation to client situations where you can further refine and scale your ideas.
YOUR QUALIFICATIONS AND SKILLS- Advanced degree in applied math, economics, statistics or other quantitative science
- 5+ years of experience in the field of consulting and/or development, retail pricing or promotional management with experience in practical data analysis
- Experience with advanced analytics techniques to model, forecast, and optimize decisions, particularly in pricing and promotions; includes econometric modeling, ML modeling techniques XGBoost and decision trees, and use of a Solver for optimization
- Experience developing analytical solutions for internal or external usage
- Advanced knowledge in statistical packages and comfort working with teams that make heavy use of Python and R
- Experience in collaborating with a team of statistical analysts
- Highly proficient at problem-solving challenging business issues with clients and McKinsey consultants
- Ability to juggle overlapping and frequent challenging commitment timelines and reprioritize as necessary to meet evolving business objectives
- Ability to critically evaluate and communicate business issues/risks with conviction to clients and partners
- Excellent communication and influencing skills that can be employed when partnering with clients and other partners to build relationships and achieve goals
Please review the additional requirements regarding essential job functions of McKinsey colleagues.
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