Go-to-Market Analyst
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Job Location:
Foster, CA - USA
Monthly Salary:
Not Disclosed
Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
As a GTM Analyst at Zoox you will support building the engine behind our commercial planning and city expansion efforts. You will empower the Commercialization & Business Development Team in translating complex business challenges and datasets into actionable insights and roadmaps. This role is ideal for a high-output individual who thrives on data-driven problem solving has a passion for the future of mobility and is excited by scaling customer-focused products.
In this role you will:
- Execute deep-dive analyses on urban transportation demand profiles mobility patterns and environmental conditions to prioritize service expansion and city entry.
- Conduct analyses to support core commercialization frameworks including building business cases leveraging financial models that forecast unit economics revenue and fleet sizing.
- Perform sensitivity analyses on planning scenarios to help the team understand business trade-offs.
- Conduct rigorous research into market-specific opportunities and competitive landscapes to provide a clear picture to craft our strategy.
- Help prepare data visualizations and other materials to ensure alignment with other teams on our commercial goals.
Qualifications
- 13 years of experience in management consulting or a high-growth strategy/operations role (ideally within mobility logistics or tech).
- High proficiency in Excel/Google Sheets with a proven ability to take disparate datasets (e.g. GIS data city census data traffic patterns) and extract clear insights. You should be comfortable building complex dynamic models and performing sensitivity analyses from scratch.
- Ability to distill data to concise storytelling for internal stakeholders and leadership.
- Strong attention to detail and analytical rigor with a high bar for accuracy and a no task too small mindset; ensures confidence in data used to inform go-to-market strategy and leadership decisions.
- Curious structured problem solver who goes beyond surface-level metrics to understand underlying drivers ask the right why questions and translate analysis into clear actionable GTM insights.
Bonus Qualifications
- Experience with SQL or data visualization tools (Foursquare Studio Looker etc.) is a significant plus.
$116000 - $139000 a year
Base Salary Range
There are three major components to compensation for this position: salary Amazon Restricted Stock Units (RSUs) and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling as well as positioning within a level is determined by a range of factors including but not limited to a candidates relevant years of experience domain knowledge and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.
Zoox also offers a comprehensive package of benefits including paid time off (e.g. sick leave vacation bereavement) unpaid time off Zoox Stock Appreciation Rights Amazon RSUs health insurance long-term care insurance long-term and short-term disability insurance and life insurance.
We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
Required Experience:
IC
Key Skills
- Microsoft Access
- SQL
- Analysis Skills
- Microsoft Powerpoint
- Securities Law
- Data Mining
- Investment Banking
- Market Research
- Microsoft Excel
- Visual Basic
- Bloomberg
- Data Analysis Skills
About Company
We’re reinventing personal transportation—making the future safer, cleaner, and more enjoyable for everyone. This is on-demand autonomous ride-hailing.
