Staff Analytics Engineer: Clickstream Data Architect

News Corp; Austin (TX); On-site; USD 150,000 - 185,000; Full time

Job summary

Realtor.com seeks a Staff Analytics Engineer to define end-to-end measurement for behavioral signals, ensuring robust event schemas, tracking implementations, and data contracts across web and mobile platforms.

You will translate business questions into precise instrumentation specs, then drive validation, data quality, and improvements with engineering and analytics teams. This role requires leadership across product, analytics, and QA.

Qualifications

• 8-10+ years of experience in digital analytics or clickstream tracking at enterprise scale.
• Experience architecting, implementing, and operating enterprise clickstream platforms.
• Hands-on experience designing event-based data models for web and mobile.
• Ability to translate ambiguous business questions into precise instrumentation specifications.

Responsibilities

• Define technical strategy, architecture, and roadmap for clickstream data collection.
• Own data collection outcomes across web and mobile products.
• Set measurement definitions and data contracts for implementation.
• Translate stakeholder questions into instrumentation specifications across platforms.
• Audit tagging and tracking health; drive improvements and data quality.
• Mentor engineers, analysts, and peers on instrumentation best practices.
• Lead cross-functional alignment on architecture decisions.

Skills

10+ years exp

Digital analytics

Event-based data models

JavaScript tracking

SQL in Snowflake

Data governance/privacy

AI-enabled tools

Communication skills

Education

Bachelor’s degree in Analytics/DS/CS

Tools

Amplitude

Adobe Analytics

Google Analytics

Segment

Snowplow

Kafka

Google Tag Manager

Job description

Realtor.com seeks a Staff Analytics Engineer to define end-to-end measurement for behavioral signals, ensuring robust event schemas, tracking implementations, and data contracts across web and mobile platforms.

You will translate business questions into precise instrumentation specs, then drive validation, data quality, and improvements with engineering and analytics teams. This role requires leadership across product, analytics, and QA.