Senior Data Analyst, Product Analytics

Who We Are

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 the best data and analytical minds to help us measure the effectiveness of our products that aim to make it simple and easy to buy and sell a home. To accomplish that task, we are looking for a Senior Data Analyst with a consumer services, business, or technology background to join our expanding Customer Product Analytics team within the Enterprise Data Science and Analytics organization. The team you are joining acts as a “trusted” partner to our key product stakeholders helping them answer their most critical business questions. This could be accomplished by conducting strategic deep insight analysis, A/B experimentation design and measurement, or creating new innovative ways to measure the success of the business. This is a job for someone who not only possesses strong technical skills, but also the ability to take data and mold it into a cohesive story that enables our stakeholders to make informed business decisions. Ideal candidates will be comfortable presenting their findings to stakeholders.

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). While roughly 70% of this role focuses on delivering performance reporting and actionable dashboards for day-to-day decisions, the other 30% emphasizes deeper statistical modeling and experimentation—surfacing the “why” behind data movements, not just the “what.” This is not a traditional reporting role; a successful candidate will possess strong analytical and storytelling skills to make data-driven insights accessible and impactful.

What you'll do:

• Business Performance Reporting, Visualization, and Analysis (70%): Serve as the primary partner for our cross-functional stakeholders by delivering standardized and ad-hoc reports, dashboards, and data visualizations that track and communicate key product metrics. When a metric is ahead or behind expectations, dig in to drive meaningful, actionable insights that help the business improve or double-down on success.
• Deep-Dive Analysis (30%): Leverage advanced techniques (e.g., A/B experimentation, statistical modeling) to analyze consumer product performance at a lead and feature level. Develop a rich understanding of user interactions with product features and use these insights to make data-driven recommendations that shape product development and drive growth.
• 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
• 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

How we work:

We balance creativity and innovation on a foundation of in-person collaboration. For most roles, our employees work three 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.

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
• 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, hypothesis testing, regression analysis, etc.)
• Experience using data to analyze product feature performance is preferred
• Experience in a subscription business also relevant
• Ability to think strategically, analyze and interpret product performance drivers as well as how analyze a conversion funnel with key fallout points identified
• Intense curiosity, high intellectual and analytical horsepower, passionate pursuit of analytics driven insights
• Strong communication skills as well as written and verbal presentation skills and experience presenting to diverse audiences
• Comfort working in a highly agile, intensely iterative environment
• Self-motivated and self-managing, with strong time management and organizational skills

Preferred skills & Experience:

• Knowledge in Python or R is a plus