Data Analyst

Summary

Join Realtor.com®, the leading online real estate platform, as a Data Analyst III on the Product Analytics team. You will be a key partner to product stakeholders, providing data-driven insights to improve product performance and drive ecommerce sales growth. Leverage advanced analytical techniques such as A/B testing and statistical modeling to understand consumer behavior and identify opportunities for improvement. Collaborate with cross-functional teams to enhance data architecture, visualization, and modeling. Present findings to stakeholders and contribute to strategic decision-making. This role requires strong technical skills, excellent communication abilities, and the ability to translate complex data into actionable insights. The ideal candidate will thrive in a fast-paced, agile environment and be passionate about using data to drive business results.

Requirements

• Bachelor's Degree in Business Analytics, Math, Economics
• 2-5+ years of work experience analyzing data to answer business questions
• 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

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

Preferred Qualifications

• 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