Data Analyst

Data Analyst, Client Product Analytics

About http://Realtor.com :

At http://realtor.com , we have the most comprehensive and accurate coverage of real estate listings and the most engaged users across all the online real estate portals. Our mission is to make buying, selling, renting, and living in homes easier and more rewarding for everyone.

The Data Science and Analytics organization at http://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.

Role Description:

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 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 Data Analyst to join our Product Analytics team within the Data Science & Analytics organization with the goal of helping the extended product team develop a framework, metrics, business reports, and strategic analysis around how we communicate Performance to our clients (the agent and broker community). This role will be supporting a new area of focus for the company in Fiscal Year 2026. As an organization, we sit on a wealth of data and this person will be at the forefront of helping the business harness the power of this data. The mission of the 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”

Responsibilities:

• 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 with Enterprise Consumer Data Mart and be an advocate for adoption
• Be responsible for monitoring the success of visitors' engagement and conversion by tracking metrics and building new estimated KPIs if necessary (e.g., product usage metrics)
• 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

Requirements:

• Bachelor's Degree in Business Analytics, Math, Economics
• 2-5+ years of work experience analyzing data to answer business questions
• Experience using data to analyze product feature performance is preferred
• Experience in a consumer subscription business also relevant
• Advanced knowledge in SQL and knowledge in Python or R a plus
• Experience with digital analytics platforms like Adobe Analytics and Google Analytics is preferred
• 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.)
• 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
• Ability to thrive in a largely remote organization
• Comfort working in a highly agile, intensely iterative environment
• Self-motivated and self-managing, with strong time management and organizational skills