Streaming Analytics

Streaming Analytics Data Jobs

2 jobs found

Today

Staff Analytics Engineer, Clickstream Platform

News Corp Austin, TX

Austin, TX

Today

Full time Marketing Ad Analytics Analytics

Apply Now

Job Description

The Staff Analytics Engineer role will help Realtor.com strengthen its digital analytics clickstream platform by owning technical strategy, architecture, and delivery outcomes. This position defines measurement standards end-to-end and serves as the primary subject matter expert for clickstream data collection across web and mobile.

Role Overview

As a Staff Analytics Engineer, you will establish the end-to-end measurement approach for behavioral signals, ensuring event schemas and tracking implementations meet analytics, reporting, and experimentation needs. You will translate stakeholder questions into unambiguous instrumentation specifications, then drive validation and ongoing improvements to data collection quality.

Key Responsibilities

Define the technical strategy, architecture, and roadmap for clickstream data collection across the organization, aligned with business objectives and KPIs at scale.
Own data collection outcomes across web and mobile products, accountable for completeness, accuracy, and usability of clickstream data.
Set measurement definitions, including what gets measured and why, and specify how behavioral signals and event schemas support analytics, reporting, and experimentation.
Convert stakeholder questions into precise instrumentation specifications, including events, parameters, identifiers, schemas, and data contracts for implementation across platforms.
Identify instrumentation gaps proactively and drive resolution with engineering and QA teams.
Audit tagging and tracking health through data analysis, surface improvement opportunities, and influence future measurement decisions.
Lead root-cause analysis and resolution of complex data discrepancies and tracking issues, and drive architectural changes to prevent recurrence.
Mentor senior and mid-level engineers, analysts, and peers, sharing instrumentation expertise across the organization.
Serve as the subject matter expert for clickstream data collection and measurement strategy, owning the lifecycle from defining what gets measured and why through implementation, validation, and downstream enablement.
Drive cross-functional alignment on architecture decisions and represent the data and analytics function in technical leadership and architecture review forums.

Required Qualifications

8-10+ years of experience in 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 technologies such as Amplitude, Adobe Analytics, Google Analytics, Segment, Snowplow, Google Tag Manager, and Kafka.
Hands-on experience 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.
Strong JavaScript experience for tracking implementation, plus 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 analysis.
Working knowledge of data governance, privacy, and consent frameworks, including GDPR and CCPA, and their implications for 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, or similar as a force multiplier in daily work.
Excellent written and verbal communication, with the ability to produce precise technical specs and documentation, explain tradeoffs clearly, and influence across engineering, product, marketing, and analytics.
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.

Technologies

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

Location

Austin, TX, United States (onsite)

View full job page →

Today

Staff Analytics Engineer, Clickstream Platform

Realtor.com Austin, TX

Austin, TX

Today

Full time Marketing Analytics Big Data

Apply Now

Job Description

Realtor.com is building a reliable digital analytics clickstream platform that teams across product, marketing, and engineering can depend on. In this Staff Analytics Engineer role (onsite in Austin, TX), you will set the measurement strategy and technical standards, guide architecture and delivery outcomes, and help ensure the organization’s web and mobile behavioral signals are complete, accurate, and usable for analytics, reporting, and experimentation.

What you’ll own

Technical strategy, architecture, and roadmap for clickstream data collection across the organization, aligned to business objectives and KPIs at scale
End-to-end clickstream data collection outcomes across web and mobile products, focused on completeness, accuracy, and usability
Measurement decisions: define what gets measured, why it matters, and how event schemas and behavioral signals support analytics, reporting, and experimentation needs
Instrumentation specs that engineering can implement without ambiguity, including events, parameters, identifiers, schemas, and data contracts
Proactive identification and closure of instrumentation gaps in collaboration with engineering and QA teams
Audits of tagging and tracking health through data analysis, surfacing improvement opportunities and shaping future measurement decisions
Root-cause analysis for complex tracking and data discrepancies, plus architectural changes that prevent recurrence
Mentorship for senior and mid-level engineers and analysts, sharing clickstream and instrumentation expertise across the organization

What you bring

8-10+ years in digital analytics or clickstream tracking implementation at enterprise scale, with experience 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 skills designing event-based data models for web and mobile, including event taxonomies, parameter and identifier design, and data contracts
Ability to turn ambiguous business questions into precise instrumentation specifications, and orchestrate delivery across Product Engineering, Analytics, QA, and platform partners
Strong JavaScript for tracking implementation, with fluency in browser and mobile debugging tools and experience with scalable data pipelines
SQL proficiency in a cloud data warehouse (Snowflake) to validate data quality, investigate anomalies, and own analysis
Working knowledge of data governance, privacy, and consent frameworks (GDPR, CCPA) and how they impact instrumentation design
Experience enabling self-service analytics at scale through standardized metrics frameworks, reporting taxonomies, or dashboards
Demonstrated use of AI-enabled tools (Claude, Gemini, Cortex, Copilot, etc.) as a productivity force multiplier
Excellent written and verbal communication: clear technical specs, documented architecture and governance decisions, and tradeoff explanations for both technical and non-technical partners
Experience working with consumer digital products at scale (real estate, media, marketplace platforms)
Bachelor’s degree in Analytics, Data Science, Information Systems, Computer Science, Economics, Marketing, or a relevant field

Technologies you’ll work with

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

How the role fits

This is a senior individual contributor position with broad technical authority. You will define the measurement strategy, standards, architecture, and roadmap that other teams build against, act as the clickstream subject matter expert across the organization, and ensure downstream teams receive reliable, well-documented data for analytics and experimentation.

View full job page →

Streaming Analytics Data Jobs

Staff Analytics Engineer, Clickstream Platform

Staff Analytics Engineer, Clickstream Platform

Get Streaming Analytics Data Jobs alerts