Senior Business Intelligence Analyst, Growth

Waymo•Mountain View, CA

6h•$168,000 - $207,000•Hybrid

About The Position

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.

Requirements

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.

Nice To Haves

Experience in the Autonomous Vehicle industry or a strong background in engineering.
Experience with geospatial data.

Responsibilities

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.
Deep dive into business performance.