Realtor.com - Austin, TX
posted 1 day ago
About the position
At Realtor.com, we have among 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. Building your career? Build it better at Realtor.com. Join us and help change the world of real estate, one home at a time. 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.
Responsibilities
- Business Performance Reporting, Visualization and Analysis: Be the primary partner for our cross-functional stakeholders to understand product performance.
- 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.
- Opportunity Identification and Sizing: Forecasting and opportunity sizing to help evaluate potential product enrichment opportunities.
- Partnership and Communication: Partner closely with our Product stakeholders to identify and unlock opportunities.
- Build trust in all interactions and help make sure Seller Customer interactions is included in the build out of Amplitude.
- Be responsible for understanding key drivers of the Net Promoter Score for seller-focused customer products.
- Build relationships with other products and analytics teams to share best 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, 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, hypothesis testing, regression analysis, etc.).
- Ability to think strategically, analyze and interpret product performance drivers.
- Intense curiosity, high intellectual and analytical horsepower, passionate pursuit of analytics driven insights.
- Strong communication skills as well as written and verbal presentation skills.
- Comfort working in a highly agile, intensely iterative environment.
- Self-motivated and self-managing, with strong time management and organizational skills.
Nice-to-haves
- Experience in a subscription business.
- Knowledge in Python or R.
Benefits
- Warm, welcoming, and inclusive culture.
- Intellectual challenges.
- Development opportunities.
