Realtor.com® is looking to harness data to drive business growth by analyzing trends, applying advanced quantitative techniques, and advising on product roadmaps. This role involves collaborating with product teams to drive innovation and contributing insights that shape strategic decisions.
Requirements
- Robust analytics skills including strong SQL experience and ability to work with and analyze large volumes of complex data.
- Be a subject matter expert on measurement and statistical analyses for your stakeholders.
- Strong analytical thinking and ability to make data-driven decisions using statistical methods
- Experience with data exploration and visualization tools like Tableau, Looker, Shiny, Streamlit
- Prior experience with clickstream data or in product analytics, including using tools like Amplitude or Mixpanel
- Expertise in applied experimentation and statistics concepts (e.g. confidence intervals, hypothesis testing, regression analysis, etc.)
Responsibilities
- Be the primary partner for our cross-functional stakeholders to understand product performance across our consumer product funnels and search algorithms.
- 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.
- 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.
- Both to set goals and help evaluate potential product enrichment opportunities, you will be tasked with forecasting and opportunity sizing.
- 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.
- Learn from the best and build on a cutting edge tech stack that allows for rapid skill development with AI.
Other
- 2+ years of related experience in analytics or data science.
- Comfort working in a collaborative, highly agile, intensely iterative environment
- Four-year college or university degree in computer science, economics, statistics, mathematics, analytics, or a related discipline.
- Master's or PhD
- Our employees work three days in our Austin headquarters where they have the opportunity to collaborate in-person, adding richness to our culture and knitting us closer together.
