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Staff Analytics Engineer, Clickstream Platform

News Corp Austin, TX

Austin, TX

Today

Full time Marketing Ad Analytics Analytics

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Job Description

News Corp is building measurement and analytics capabilities for Realtor.com’s clickstream platform. This Staff Analytics Engineer role owns the technical strategy, architecture, and delivery outcomes behind digital analytics, setting standards that help product and engineering teams capture reliable behavioral signals across web and mobile. The position also serves as a subject matter expert, mentoring cross-functional partners and influencing technical direction through architecture reviews.

Location: Austin, TX, United States (onsite)

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

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