Senior Analyst, Industry & Marketplace Strategy

Zillow

3d•$94,000 - $158,100•Remote

About The Position

The Industry Data & Marketplace Strategy team sits at the center of Zillow’s work across Multiple Listing Service (MLS) strategy, broker feeds, and marketplace dynamics. We partner closely with Product, Engineering, Legal, MLS Operations, and Industry teams to ensure we have the data, insights, and strategy needed to support a healthy and scalable real estate marketplace. Our work spans listing ingestion, data governance, and understanding how broker and MLS behaviors shape marketplace outcomes. We focus on translating complex, often ambiguous industry dynamics into clear, data-driven insights that inform strategic decisions across Zillow. As a Senior Analyst on the Industry Data & Marketplace Strategy team, you will play a key role in scaling Zillow’s data-driven approach to industry strategy. This role is designed for a strong, highly independent analyst who can take ownership of complex analytical problems and operate effectively in ambiguous spaces. You will work across MLS and broker-related initiatives, building datasets, uncovering insights, and helping shape how Zillow understands and navigates the broader real estate ecosystem. You will partner with cross-functional stakeholders to define problems, structure analytical approaches, and deliver insights that influence both strategy and execution. Given the evolving nature of industry and marketplace work, priorities may shift as new questions and opportunities emerge—success in this role requires the ability to adapt quickly, re-scope work, and focus on the highest-impact problems.

Requirements

5+ years of experience in an analytical role, using data to inform business or strategic decisions
Highly proficient in SQL and comfortable working with modern analytics and visualization tools (e.g., Tableau, Databricks, SQL-based reporting environments)
Working knowledge of Python; experience using AI-assisted tools (e.g., LLMs such as Claude or ChatGPT, or coding copilots) to accelerate analysis or development
Proven ability to work with complex, imperfect, or incomplete datasets
Strong track record of independently structuring and solving ambiguous problems
Ability to connect data insights to business context and influence decision-making
Excellent communication skills, with the ability to explain both findings and underlying reasoning to cross-functional stakeholders
Strong ownership mindset with a bias toward action
Ability to independently scope and structure analytical projects, including defining the problem, identifying required data, and aligning on approach with stakeholders
Foundational understanding of the real estate ecosystem (e.g., MLSs, brokerages, or listing data), or demonstrated ability to quickly build domain expertise in a new space
Comfortable operating with limited direction, asking the right questions, and piecing together incomplete information to form a clear point of view.
Proactively leverage tools—including AI—to increase your speed, depth, and impact.

Nice To Haves

Previous experience working with MLSs, brokerages, or real estate data is preferred, but not required.

Responsibilities

Build and own datasets spanning MLS feeds, broker feeds, and marketplace data
Analyze listing behavior and brokerage dynamics across markets to identify trends and opportunities
Support strategic initiatives related to listing ingestion, data governance, and marketplace health
Partner with Legal, Operations, Product, and Engineering to translate business and policy questions into analytical frameworks
Develop scalable reporting and dashboards to support ongoing decision-making
Identify gaps in data and proactively connect disparate data sources to generate insights
Frame ambiguous problems into clear analytical questions and deliver actionable recommendations