Staff Analytics Engineer, Clickstream Platform

What you’ll do

• Set the technical strategy, architecture, and roadmap for clickstream data collection across the organization, aligned to business objectives and KPIs at scale
• Own data collection outcomes for web and mobile products, ensuring clickstream data is complete, accurate, and usable
• Define what gets measured and why, translating behavioral signals and event schemas into analytics, reporting, and experimentation needs
• Turn stakeholder questions into unambiguous instrumentation specifications including events, parameters, identifiers, schemas, and data contracts engineers can implement across platforms
• Identify instrumentation gaps proactively and drive resolution with engineering and QA teams
• Audit tagging and tracking health by analyzing data, then surface improvement opportunities to guide future measurement decisions
• Lead root-cause analysis for complex data discrepancies and tracking issues, and drive architectural changes to prevent recurrence
• Mentor senior and mid-level engineers, analysts, and peers, sharing clickstream measurement expertise across the organization
• Represent the data and analytics function in technical leadership and architecture review forums, and lead cross-functional alignment on architecture decisions

What you bring

• 8-10+ years of digital analytics or clickstream tracking implementation at enterprise scale, with a record of owning outcomes end-to-end
• Experience architecting, implementing, and operating enterprise clickstream platforms using tools such as Amplitude, Adobe Analytics, Google Analytics, Segment, Snowplow, Google Tag Manager, and Kafka
• Hands-on skill designing event-based data models for web and mobile, including event taxonomies, parameter and identifier design, and data contracts
• Ability to translate ambiguous business questions into precise instrumentation specifications and orchestrate delivery across Product Engineering, Analytics, QA, and platform partners
• JavaScript for tracking implementation, fluency with browser and mobile debugging tools, and experience designing scalable data pipelines
• SQL proficiency in a cloud data warehouse (Snowflake) to validate data quality, investigate anomalies, and own the analysis
• Working knowledge of data governance, privacy, and consent frameworks including GDPR and CCPA and how they affect instrumentation design
• Experience enabling self-service analytics at scale through standardized metrics frameworks, reporting taxonomies, or dashboards
• Demonstrated use of AI-enabled tools (such as Claude, Gemini, Cortex, Copilot, etc.) as a force multiplier
• Excellent written and verbal communication, including creating precise technical specs and documenting architecture and governance decisions for both technical and non-technical audiences
• Experience with consumer digital products at scale, such as real estate, media, or marketplace platforms
• Bachelor’s degree in Analytics, Data Science, Information Systems, Computer Science, Economics, Marketing, or a relevant field

Tools you’ll work with

Amplitude, Adobe Analytics, Google Analytics, Segment, Snowplow, Google Tag Manager, Kafka, JavaScript, SQL, Snowflake, GDPR, CCPA, Claude, Gemini, Cortex, Copilot