Research Science Analyst – Mobility Electrification Model – EV Outlook
Company | McKinsey & Company |
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Location | Boston, MA, USA, Detroit, MI, USA |
Salary | $Not Provided – $Not Provided |
Type | Full-Time |
Degrees | Master’s |
Experience Level | Mid Level |
Requirements
- Master’s degree in either business, business informatics, economics or STEM (science, technology, engineering, mathematics) preferred
- 2+ years of professional experience
- Proficiency in Python to manage and visualize our mobility data insights and guide our developer team in building and improving our mobility tools preferred
- Strong analytical background with quantitative skills, including knowledge of software/solutions; strong MS Excel and PowerPoint skills are a minimum requirement, preferably with Python coding proficiency and data visualization (i.e. Tableau, PowerBI)
- Adept at managing key stakeholders (internal & external), confidence/ability to work collaboratively in a fast-paced, oftentimes ambiguous environment with senior stakeholders
- Strong process management skills, autonomously coordinating multiple workstreams in parallel and with foresight
- Excellent communication skills, both verbal and written
Responsibilities
- Forecast electric vehicle (EV) adoption by analyzing consumer pull and regulatory push factors
- Leverage the McKinsey Electric Vehicle Outlook Model to generate scenario-based EV sales and parc forecasts for both passenger cars and commercial vehicles
- Conduct in-depth analyses of individual OEM strategies, assessing their market positioning, go-to-market approaches, and investment plans
- Apply advanced machine learning algorithms to identify drivers and underlying correlations
- Analyze value and profit pools across the automotive value chain, identifying strategic opportunities for OEMs and suppliers in the mobility transition
- Develop and customize business insights and model outputs for clients
Preferred Qualifications
- Automotive or mobility expertise and analytical skills
- Passion for mobility and sustainability