Key skills
SQLBusiness Intelligence ToolsStatistical ConceptsData AnalysisData VisualizationBusiness AcumenPrioritizationCommunication SkillsProblem SolvingCollaborationPythonAnalyticsBusiness IntelligenceTableauSales
About this role
Zillow is reimagining real estate to make home a reality for more people. As a Senior Business Intelligence Analyst, you will use data and analytical methods to drive high-impact decisions for our Sales and Operations teams in the Zillow Home Loans business, partnering with various departments to shape the analytics roadmap and improve customer financing experiences.
Responsibilities:
- Define, measure, and report on success metrics for complex projects and pilots to evaluate performance and guide decision‑making
- Use data to identify high‑impact opportunities to improve sales performance, operational efficiency, and customer outcomes across the mortgage origination funnel
- Partner with Sales, Operations, and Product leaders to translate business challenges into analytic questions and deliver actionable, data‑driven recommendations
- Collaborate with Engineering teams to identify necessary data sources and provide clear requirements for datasets and data models needed for analytical use cases
- Work closely with internal customers to understand and refine requirements, designing analytic solutions that creatively solve complex business problems
Requirements:
- Bachelor's degree in a quantitative field or equivalent practical experience
- 5–10 years of experience in an analytical role, using data to inform business decisions
- Experience communicating complex concepts to non‑technical stakeholders, with strong business acumen and the ability to connect customer problems to business strategy
- Strong bias for action, including applying the 80/20 rule to prioritize high‑impact analyses and estimate the impact and relative priority of potential projects
- Ability to independently design and communicate an analytical roadmap to peers and senior stakeholders
- Deep, intuitive understanding of core statistical concepts (e.g., probability, randomness, correlation, sampling distributions)
- Expert in SQL and business intelligence/visualization tools (e.g., Tableau)
- Experience with scripting and automation (such as Python or similar)