At a Glance
- Tasks: Drive real estate strategy by analysing data and forecasting future operational needs.
- Company: Waymo, a leader in autonomous driving technology with a mission to improve mobility.
- Benefits: Competitive salary, bonus opportunities, equity incentives, and generous benefits.
- Other info: Hybrid work schedule with occasional travel to major cities.
- Why this job: Join a pioneering team shaping the future of transportation and making a real impact.
- Qualifications: Bachelor's degree and 4 years of experience in data analysis or corporate real estate.
The predicted salary is between 72000 - 75500 £ per year.
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver.
Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes.
The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases.
The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.
S. states.
Real estate is the physical foundation of Waymo’s operations.
The Strategy team collaborates across functions to design the optimal future footprint, ensuring the Waymo driver operates safely and efficiently.
As we scale into new markets, specialized analysis is essential to guiding our real estate strategy.
In this role, you will directly influence the location, size, capacity, and design of all future operations facilities.
This role follows a hybrid work schedule and reports to the Real Estate Strategy Manager.
- You Will
- Requirements Gathering: Formalize demand forecasts into detailed real estate requirement documents for expansion, consolidation, and sequencing.
- Data Stewardship: Manage the end-to-end life-cycle of portfolio data, ensuring high integrity in supply/demand metrics, KPIs, and market health reporting.
- Decision Documentation: Produce standardized reports and strategic briefings that translate complex analytics into actionable insights for leadership.
- Predictive Modeling: Build and maintain supply/demand models to generate the data-driven forecasts used for long-term strategic planning.
- Technical Liaison: Define and document technical requirements for the analytics team to ensure dashboards align with business strategy.
- Analytical Support: Execute data-heavy ad-hoc analysis to support business case development and multi-market occupier engagements.
- You Have
- Education: Bachelor’s degree in Business, Real Estate, Finance, Information Systems, or a related quantitative field.
- Experience: 4 years of experience in data analysis, corporate real estate, or business intelligence.
- Technical Writing: Proven ability to create clear, concise documentation and process workflows.
- Analytical Rigor: Exceptional attention to detail with the ability to manage large datasets without compromising accuracy.
- Agility: Ability to pivot between deep-dive data tasks and collaborative project coordination in a fast-paced environment.
- We Prefer
- Technical Stack: Advanced Excel, experience with SQL, Python, Looker
- Strategic Thinking & Financial Acumen
- Experienced Leadership & Development
- Client Relationship Management
- Experience with Data-Driven Decision Making
- Communication & Collaboration among teams and clients
- Travel Requirement: 10%
- Occasional travel to New York City or San Francisco Bay Area
The expected base salary range for this full-time position is listed below.
Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level.
Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.
- Salary Range
GPS Strategy Analyst, Europe in London employer: Waymo LLC
Waymo is an exceptional employer, offering a dynamic and inclusive work culture that prioritises employee growth and well-being. Located in London, the People Site Partner role provides unique opportunities to engage with local talent while implementing global initiatives tailored to the UK context, ensuring that all Waymonauts feel valued and connected. With a commitment to compliance and support, Waymo fosters an environment where employees can thrive and contribute to the mission of revolutionising mobility.
StudySmarter Expert Advice🤫
We think this is how you could land GPS Strategy Analyst, Europe in London
✨Get to Grips with Data Visualisation Tools
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✨Join Local Business Intelligence Meetups
Look for local business intelligence meetups or analytics conferences in your area. These events are not just great for learning but also for networking with industry professionals who could lead you to opportunities at companies like Waymo LLC!
✨Engage with Online BI Communities
Join online forums or communities focused on business intelligence—think LinkedIn groups, Reddit threads, or even dedicated Slack channels. Engage actively by sharing your insights and asking questions; this can help you build visibility and connect with potential employers.
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We think you need these skills to ace GPS Strategy Analyst, Europe in London
Some tips for your application 🫡
Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.
Showcase Your Business Acumen:Don't just focus on data; show us how you can apply your insights to real-world business problems. Highlight projects where you made a tangible impact on company performance, and be prepared to explain your thought process in your cover letter.
Tailor Your Documents for Us:When applying for a full-time role at Waymo LLC, tailor your CV and cover letter to reflect our organisational goals and strategies. Mention specific tools and methodologies that align with what we do—this shows you’ve done your homework and are genuinely interested in our mission!
Include Relevant Certifications:Certifications like Google Data Analytics or similar qualifications can really make you stand out in business intelligence. Include these in your application, as they demonstrate your commitment to the field and your willingness to stay current with industry standards.
How to prepare for a job interview at Waymo LLC
✨Show off your analytical skills
In a business intelligence role, you're going to need to demonstrate your analytical prowess. Be prepared to discuss specific tools you've used, like SQL, Tableau, or Power BI. Have real-world examples ready where you’ve turned data into actionable insights – this is what makes us shine in interviews!
✨Practice your technical know-how
Expect some technical questions during the interview that dive deep into your understanding of data modelling and analytics frameworks. Brush up on your knowledge of data warehousing concepts and be ready to tackle any real case scenarios they might present. They’ll want to see how you approach problems using your BI toolkit.
✨Portfolio of Projects
Since it's a full-time role, having a strong portfolio is key! Compile case studies demonstrating your previous projects, preferably showing how your insights led to business improvements. This can help us display how you think through complex datasets and your problem-solving process, which is what employers are keen on seeing.
✨Know their business model
Get familiar with Waymo LLC’s business model and recent data-driven decisions. Be prepared to discuss how your skills can specifically support their objectives or challenges. Understanding their landscape shows that you’re not just a data buff, but you’re also genuinely interested in how BI can impact their bottom line.
