Realtor.com is looking to measure the effectiveness of its products that aim to make it simple and easy to buy and sell a home. The company wants to develop a framework, metrics, business reports, and strategic analysis around how they communicate Performance to their clients (the agent and broker community). This role will support a new area of focus for the company in Fiscal Year 2026, harnessing the power of data to stay on course with meeting key OKRs.
Requirements
- 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
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.
- 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)
- 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
Other
- 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
- 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
