Senior Business Intelligence Analyst, Growth

Waymo's Product Data Science team works cross-functionally with Engineering, Product and Operations to help the company make the most informed decisions using data. Our team collaborates on high-impact projects across the company - from driving quality and operational efficiency to market analysis and rider satisfaction scores - we help to safely and efficiently scale the Waymo Driver.

We are data-driven, curious, open-minded, and adapt quickly to new information.

This role follows a hybrid work schedule and you will report to the Business Intelligence Analyst, Lead.

- Define and own the canonical metrics for Waymo's growth function - activation, promo redemption, and loyalty - partnering with data engineering to ensure reliable instrumentation and a single source of truth across all stakeholders

- Build and maintain full-funnel performance tracking that give growth leadership real-time visibility from paid media impression through first trip, repeat usage, and retention

- Own paid media tracking infrastructure - taxonomy, channel tagging standards, and end-to-end funnel stitching from campaign to trip - and deliver channel-level performance reporting that drives marketing budget and targeting decisions.

- Support the bottom-of-funnel cross functional teams with clean, consistently defined promo performance data.

- Serve as the connective tissue between data engineering, data science, marketing, and product - translating business questions into data requirements and proactively surfacing instrumentation gaps before they become decision errors.

- 5+ years of experience in a related technical field (or equivalent practical experience), with a proven track record of managing stakeholder relationships and prioritizing multiple projects

- Experience in scripting for automation (e.g. Python) and advanced SQL skills.

- Proven experience with data quality principles (accuracy, completeness, consistency) and implementing data validation processes.

- Strong communication and stakeholder & management skills, with the ability to convey key insights from complex analysis in summarized business terms, while also being able to effectively communicate with technical teams.

- Experience working with the product management and engineering teams.

- Experience with data modeling, warehousing and building ETL pipelines.

- Experience in the Autonomous Vehicle industry or a strong background in engineering.