Senior Data Analyst, Product Analytics

About this role

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:

The Data Science and Analytics organization at realtor.com sits at the heart of this mission. We process and analyze terabytes of data every day that enable decisions for millions of home buyers, sellers, renters, dreamers, and real estate professionals. Our goal is to use this data to make the home buying experience a breeze for our consumers. We empower them with the most up-to-date information on properties, help them find their dream homes in the least amount of time, and match them with the most suitable realtor to meet their unique, individual needs.

We are looking for a Sr, Data Analyst to join our Customer Product Analytics team within the Data Science & Analytics organization with the goal of helping the extended product team evaluate the launch of new features aimed at accelerating our seller-focused business, including our new agent listing product that leverages the tremendous amount of data available to realtor.com around the listings on our website. The mission of the Customer Product Analytics team is to be very strategic and pivotal to ensure that the company stays on course with meeting key OKRs (Objective and Key Results). This is not a traditional reporting role - a successful candidate will be able to take large amounts of data and be able to surface the “why” around data movements - not just the “what”

Top reasons to apply:

• Own the Business Engine: You will be the architect behind the measurement framework for the seller referral business—RDC’s largest revenue stream. This isn't just maintenance work; you are defining the KPIs and SSOT (Single Source of Truth) dashboards that leadership and FP&A rely on weekly, making your work central to the company’s financial health..

• Solve High-Complexity Marketplace Problems: This is a playground for advanced analytics. You will tackle non-trivial, two-sided marketplace challenges including inventory capacity modeling, pricing/packaging optimization, and causal inference for interventions where standard A/B test assumptions often break down.

• Strategic Executive Visibility: Because the seller side is the designated growth area for the next few years, this role offers high exposure to high-profile stakeholders. You won't just be presenting charts; you will be partnering with Product, Marketing, and Sales to shape commercial decisions and drive measurable product impact..

What You'll Do:

• Business Performance Reporting, Visualization and Analysis: Be the primary partner for our cross-functional stakeholders to understand product performance. When a metric is ahead or behind expectations, dig in to drive meaningful, actionable insights that help the business performance improve or double-down on success.

• Deep-Dive Analysis: Use advanced techniques (A/B experimentation, statistical modeling, matched pair, and/or machine learning) to analyze consumer product performance at a lead and feature level. Create a rich understanding of how people are interacting with product features and use these insights to then make recommendations.

• Opportunity Identification and Sizing: Both to set goals and help evaluate potential product enrichment opportunities, you will be tasked with forecasting and opportunity sizing. This will help our Product stakeholders understand the short-run and long-run dynamics of proposed changes to our product strategy, and create targets for driving business performance as well as optimize lead generation and funnel improvement opportunities.

• Partnership and Communication: Partner closely with our Product stakeholders to identify and unlock opportunities, and with other data teams to improve platform capabilities around data architecture, data visualization, data modeling, and testing platforms.

• Build trust in all interactions and help make sure Seller Customer interactions is included in the build out of Amplitude and be an advocate for adoption

• Be responsible for understanding key drivers of the Net Promoter Score for seller-focused customer products and helping to identify actionable paths for product and customer care to take on to improve NPS.

• Build relationships with other products and analytics teams to share best practices and enrich analytic practices

• Conduct quantitative analysis, ad hoc reports, & statistical models to understand the health and latest trends among product engagement and funnel conversion consumer metrics

• Create impactful data insights and analysis from Analytic Plan creation thru End-of-Analysis summaries

What You'll Bring:

• Bachelor's Degree in Business Analytics, Math, Economics, or equivalent work experience required

• 5+ years of relevant experience or a Master’s Degree with 3+ years of experience

• Experience using data to analyze product feature performance is preferred

• Advanced knowledge in SQL

• Experience with data exploration and data visualization tools such as Tableau, Shiny, Streamlit, etc.

• Experience with cloud-based data environments such as AWS and Snowflake

• Advanced technical and modeling skills including Excel or Google Sheet skills (e.g. pivot, vlookup, etc.) and data analytics

• Understanding of experimentation and statistics concepts (e.g. confidence intervals, h

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