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Analyze and interpret large, complex datasets to identify trends, patterns, and insights that support Zillow’s burgeoning rentals ecosystem
Collaborate with product stakeholders to define key metrics, goals, and objectives, and develop data-driven strategies to achieve them
Utilize causal inference techniques and novel experimental designs to evaluate and iterate on our pricing program
Mentor and coach junior team members on executing analytic requests and help unblocking through code reviews & best practice sharing
Work closely with cross-functional teams, such as product, marketing, engineering, and corporate strategy, to ensure relevant insights are surfaced for decision making
Collaborate with data engineering teams to design and optimize data pipelines and workflows to support efficient data collection, storage, and processing
Provide insights and recommendations based on data analysis to drive product decisions and roadmap
Effectively communicate complex analytical findings to diverse stakeholders, translating technical concepts into actionable insights and recommendations
Dive into Zillow's internal and third party data (think Hive, Presto, SQL Server, Databricks) to develop solutions that will help move the business forward and enable better decisions at a rapid speed
Requirements
A Ph.D or Master's degree in a quantitative field
8+ years of work experience involving quantitative data analysis, experimentation and complex problem-solving
A strong understanding of statistical concepts, measurement methods, A/B testing and causal inference techniques
A proven track record of building and operating value-based pricing systems
Mastery of SQL, Excel, Python, along with some experience with Tableau, Databricks, or other visualization software
Superb verbal and written communication skills with the ability to distill sophisticated issues and detailed analysis into simple, structured frameworks with concrete action plans
Able to work cross-functionally and influence business partners to set realistic goals and focus on data-driven solutions
Keen understanding and experience with online products