Senior Business Intelligence Analyst, Growth
Job Summary
The Product Data Science team at Waymo is seeking a skilled individual to define and own the canonical metrics for Waymo's growth function, including activation, promo redemption, and loyalty. Reporting to the Business Intelligence Analyst, Lead, this role involves building and maintaining full-funnel performance tracking, ensuring reliable instrumentation, and delivering channel-level performance reports.
Responsibilities
- Define and own the canonical metrics for Waymo's growth function
- Build and maintain full-funnel performance tracking for real-time visibility from paid media impression through first trip, repeat usage, and retention
- Support the bottom-of-funnel cross-functional teams with clean, consistently defined promo performance data
- Deep dive into business performance
- Collaborate with data engineering, data science, marketing, and product teams
- Translate business questions into data requirements and proactively surface instrumentation gaps
Requirements
- 5+ years of experience in a related technical field (or equivalent practical experience)
- Proven track record of managing stakeholder relationships and prioritizing multiple projects
- Experience in scripting for automation (e.g. Python) and advanced SQL skills
- Strong communication and stakeholder & management skills
- Experience with data quality principles and implementing data validation processes
- Experience working with product management and engineering teams
- Experience with data modeling, warehousing, and building ETL pipelines
Qualifications
- Experience in the Autonomous Vehicle industry or a strong background in engineering
- Experience with geospatial data
Benefits
Waymo offers a comprehensive benefits package including a discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.
Pay
The expected base salary range for this full-time position across US locations is $168,000—$207,000 USD. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level.