Autonomous Vehicle Forecast Analyst

Role:  Autonomous Vehicle Forecast Analyst

Location: Troy, MI

Location type: Hybrid

Who we are…

GlobalData operates an intelligence platform that empowers leaders to act decisively in a world of complexity and change.

By uniting proprietary data, human expertise, and purpose-built AI into a single, connected platform, we help organizations see what’s coming, move faster, and lead with confidence.

Our solutions are used by over 5,000 organizations across the world’s largest industries, delivering tailored intelligence that supports strategic planning, innovation, risk management, and sustainable growth.

Why join GlobalData?

GlobalData is at a pivotal point in its growth journey, and we need curious, ambitious, courageous people to support us in achieving our vision to deliver intelligence that transforms uncertainty into opportunity for the world’s most successful organizations.​

Our big ambitions mean that life at GlobalData is fast paced, entrepreneurial and rewarding. Working together in an intellectually challenging environment, where learning is super-charged to keep us on our toes, the highly stimulating, fast-paced, global environment we operate in, and our bold ambitions result in unique learning opportunities for our people.

The role…

We are looking for an Autonomous Vehicle Analyst to work in a close-knit team in charge of meeting the needs of our clients in the global automotive sector. You will support the Autonomous Vehicles Team with research & analysis of the North American market.

What you’ll be doing…

• Lead in the development and maintenance of the North American Autonomous Vehicle forecast including the status and outlook on autonomous levels, technologies and regulations.
• Gather and analyze automotive industry autonomous vehicle and related technology specification intelligence down to the model level utilizing both primary and secondary research. A willingness to reach out to intel contacts and/or establish an information source network is required.
• Support the manager and team with research and insight on the North American automotive industry, including vehicle life cycle data and intelligence.
• Produce written insights for internal and external users; contribute to presentations/webinars as required.
• Deliver regular market reports, forecast updates and scheduled database publications.
• Create and deliver standard and customised client data downloads to agreed timelines.
• Respond to client and internal queries from colleagues.

What we’re looking for…

• Bachelor’s degree or undergraduate equivalent preferably in business, economics, engineering or marketing.
• One to three years’ relevant automotive industry experience with a focus of research, market trends, forecasting/analysis, competitive intelligence or business planning. Automotive OEM or supplier background in Autonomous Vehicles, ADAS or related technologies preferred.
• Strong research skills and ability to work with large databases and numerical systems.
• Advanced Microsoft Office, especially Excel and PowerPoint experience.
• Excellent spoken and written English.
• High level of attention to detail.
• Ability to work independently, manage own schedules and deliver to deadlines.
• Ability to confidently and articulately communicate with clients and external contacts, primarily through email and phone calls. 

Benefits

• Training and coaching that support in building a long-term career. LinkedIn Learning and ongoing Learning and Development opportunities
• Competitive base salary
• Generous PTO policy
• Health, Dental and Vision insurance
• Pet Insurance 
• Company sponsored Life insurance, AD&D, STD, and LTD
• Maternity and Paternity leave
• 401k Match
• Corporate gym rates and other discounts 

GlobalData believes strongly in the value of diversity and creating supportive, inclusive environments where our colleagues can succeed. As such, we are proud to be an Equal Opportunity Employer. GlobalData is determined to ensure that no applicant or employee receives less favourable treatment on the grounds of gender, age, disability, religion, belief, sexual orientation, marital status, race, or is disadvantaged by conditions or requirements which cannot be shown to be justifiable.

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