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. Responsibilities include conducting deep-dive analyses using advanced techniques like A/B testing and statistical modeling, identifying and sizing opportunities for product improvement, and collaborating with cross-functional teams. You will create impactful data visualizations and presentations to communicate findings and drive business decisions. This role requires strong analytical skills, experience with data visualization tools, and proficiency in SQL and other programming languages. The ideal candidate is a self-motivated individual with excellent communication and presentation skills, comfortable working in a fast-paced, agile environment.

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