Staff Analytics Engineer, Clickstream Platform

Description

Recognized as the No. 1 site trusted by real estate professionals, Realtor.com® has been at the forefront of online real estate for over 25 years, connecting buyers, sellers, and renters with trusted insights and expert guidance to find their perfect home. Through its robust suite of tools, Realtor.com® not only makes a significant impact on the real estate industry at large, but for consumers, navigating the biggest purchase they will make in their life, by providing a user experience that is easy to use, easy to understand, and most of all, easy to make decisions.

Join us on our mission to empower more people to find their way home by breaking barriers to entry, making the right connections, and building confidence through expert guidance.

About the role:

At Realtor.com, what you do has the potential to touch people in a real and meaningful way. We are dedicated to making the process of buying, selling, renting, and living in homes easier and more rewarding. With the most comprehensive and accurate real estate listings, we empower consumers with up-to-date information to help them find their dream homes. The Data and Analytics team processes and analyzes vast amounts of data to support millions of home buyers, sellers, and renters. You'll engage with some of the best and brightest coworkers and leaders, learn and contribute, and have a great time. If you enjoy working in a fast-paced, dynamic, cutting-edge environment and desire to make a meaningful contribution to the business, then make the move!

We are looking for a Staff Analytics Engineer to own the technical strategy, architecture, and delivery outcomes for our digital analytics clickstream platform. This is a senior individual contributor role with broad technical authority: you will define the measurement strategy, standards, architecture, and roadmap that other teams and engineers across product, marketing, and engineering build against.

The Clickstream Platform and Digital Analytics team sits at the intersection of the analytics and business teams who depend on trusted data and the engineering teams who build the systems that produce it. This role is where those worlds meet. You will act as the subject matter expert for clickstream data collection and measurement strategy across the organization, own the full lifecycle from defining what gets measured and why, through implementation and validation, to ensuring downstream teams have reliable, well-documented data they can build on. You will also drive cross-functional alignment on architecture decisions, mentor senior and mid-level engineers, analysts, and peers, and represent the data and analytics function in technical leadership and architecture review forums.

If you hold yourself to a standard of data quality that makes the difference between insights an organization trusts and data it works around, and you want to shape how an entire organization collects and governs its data, we encourage you to apply!

• High-Impact Technical Ownership: Step into a senior, strategic individual contributor role where you set the enterprise measurement roadmap, define architecture standards, and mentor teammates.
• True End-to-End Influence Across Engineering & Marketing: Bridge the gap between engineering systems, analytics pipelines, and downstream marketing activation to ensure high-volume behavioral data directly drives business outcomes.
• Enterprise Scale & Visibility: Architect clickstream data platforms that capture and curate behavioral signals for over 100 million monthly active users, collaborating directly with senior leadership to build trusted data products.
• AI-Accelerated Engineering Culture: Work in a forward-thinking environment where modern AI tools are actively embraced to eliminate friction, accelerate workflows, and solve complex data challenges faster

What You'll Do

• Define the technical strategy, architecture, and roadmap for clickstream data collection across the organization, ensuring alignment with business objectives and KPIs at scale

• Own data collection outcomes across web and mobile products, accountable for the completeness, accuracy, and usability of clickstream data

• Define what gets measured, why it matters, and how behavioral signals and event schemas serve analytics, reporting, and experimentation needs

• Convert stakeholder questions into precise instrumentation specs (events, parameters, identifiers, schemas, data contracts) that engineers can implement without ambiguity across platforms

• Proactively identify instrumentation gaps and drive resolution with engineering and QA teams

• Analyze data to audit tagging and tracking health, surface improvement opportunities, and shape future measurement decisions

• Lead root-cause analysis and resolution of complex data discrepancies and tracking issues, and drive the architectural changes that prevent recurrence

• Mentor senior and mid-level engineers, analysts, and peers, and share instrumentation expertise across the organization
  

What You'll Bring

• 8-10+ years in digital analytics or clickstream tracking implementation at enterprise scale, with a record of owning outcomes end-to-end, not just executing tasks

• Experience architecting, implementing, and operating enterprise clickstream platforms with 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 to orchestrate delivery across Product Engineering, Analytics, QA, and platform partners

• Strong 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 your analysis

• Working knowledge of data governance, privacy, and consent frameworks (GDPR, 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 (Claude, Gemini, Cortex, Copilot, etc.) as a force multiplier in how you work

• Excellent written and verbal communication: precise technical specs, documented architecture and governance decisions, and clear explanations of tradeoffs for non-technical stakeholders, with the ability to 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

How We Work:

We balance creativity and innovation on a foundation of in-person collaboration. For most roles, our employees work four or more days in our offices, where they have the opportunity to collaborate in-person, adding richness to our culture and knitting us closer together.

How We Reward You:

Realtor.com® is committed to investing in the health and wellbeing of our employees and their families. Our benefits programs include, but are not limited to:

• • Inclusive and Competitive medical, Rx, dental, and vision coverage
  • Family forming benefits
  • 13 Paid Holidays
  • Flexible Time Off
  • 8 hours of paid Volunteer Time off
  • Immediate eligibility into Company 401(k) plan with 3.5% company match
  • Tuition Reimbursement program for degreed and non-degreed programs
  • 1:1 personalized Financial Planning Sessions
  • Student Debt Retirement Savings Match program
  • Free snacks and refreshments in each office location

Do the best work of your life at Realtor.com®

Here, you’ll partner with a diverse team of experts as you use leading-edge tech to empower everyone to meet a crucial goal: finding their way home. And you’ll find your way home too. At Realtor.com®, you’ll bring your full self to work as you innovate with speed, serve our consumers, and champion your teammates. In return, we’ll provide you with a warm, welcoming, and inclusive culture; intellectual challenges; and the development opportunities you need to grow.

Diversity is important to us, therefore, Realtor.com® is an Equal Opportunity Employer regardless of age, color, national origin, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, marital status, status as a disabled veteran and/or veteran of the Vietnam Era or any other characteristic protected by federal, state or local law. In addition, Realtor.com® will provide reasonable accommodations for otherwise qualified disabled individuals.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.