Senior Segment Market Analyst - Automotive Insights

About the Role

Key Responsibilities

• Collect, organize, and analyze data to monitor strategic plan progress against goals and identify barriers to success.
• Work with other divisional and cross-organizational analysts to ensure quality and consistency of strategic analysis across the enterprise.
• Manage a library of data and analyses to support strategic issue resolution and decision making, including market TAM/SAM modeling.
• Support development and management of an executable business/strategic plan.
• Support communication of critical themes and messages to internal and external stakeholders.
• Manage and maintain systems and processes that help to manage the business.
• Handle special project assignments such as Investor Relations inquiries, competitive/M&A inquiries, and new market data analysis.

Requirements

• Undergraduate degree in a technical, economic, or data-science discipline.
• Work experience in automotive, consulting, or investment banking.
• Skills with Excel and PowerPoint.
• Ability to break down complex problems into manageable components using data, analysis, assumptions, and judgment.
• Ability to create large financial models, strategic frameworks, and presentations comparable to leading management consulting firms.
• Comfort with advanced data analysis techniques such as multivariate regressions and working with large unstructured data sets.
• Excellent written and verbal communication skills.
• Ability to manage multiple projects efficiently with guidance.
• Comfort working in a fast-paced environment with demanding deadlines and limited or imperfect information.
• Passion for the automotive industry and its impact.

Nice to Have

• 1-2 years of experience with strategy/management consulting firms, internal strategy groups, or an equity research firm covering technology-related market segments.
• Experience creating financial models and strategic frameworks at a high level.
• Facility with advanced data analysis techniques and working with large unstructured data sets.
• Strong interpersonal skills and ability to build trusting relationships across all levels of the company.

Qualifications

• Educational background in technical, economic, or data-science disciplines.

Benefits & Perks

• Discretionary performance-based bonus.
• Medical, vision, and dental coverage.
• 401k retirement plan.
• Paid vacation, holidays, and sick time.
• Other benefits.