Senior Manager, GTM Intelligence, Analytics

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🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $144.8k - $231.2k / year

⏰ Full Time

🟠 Senior

📉 Data Analyst

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Zillow

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 2006

🏠 Real Estate

🛍️ eCommerce

👥 B2C

💰 $4.1M Post-IPO Equity on 2012-12

Real Estate • eCommerce • B2C

Zillow is a leading real estate and property rental marketplace that provides comprehensive information on homes, apartments, and properties for sale or rent. It offers users tools to search for properties, calculate mortgage rates, and connect with real estate agents. The platform also features innovative algorithms that provide Zestimates, which are estimated market values of homes. Zillow is a go-to resource for individuals looking to buy, sell, or rent properties, as well as for agents and brokers who want to reach a wider audience.

📋 Description

• Own GTM strategy analytics end-to-end, from pre-sales pipeline and funnel performance through post-sales customer health and retention • Build, lead, and grow a team of BI professionals through hiring, onboarding, goal-setting, and career development • Establish an operating model based on rigor and consistency • Set the analytical standard for performance measurement using clear, immediately consumable frameworks and dashboards • Own executive-facing analytics and visualization strategy for GTM health and value, including L1/L4 metrics • Act as the primary analytical thought partner to Sales, Success, Data Science, Systems, and GTM leaders • Represent BI in cross-functional strategic planning • Partner with Data Science and Systems teams to ensure underlying data is accurate and well-structured • Own prioritization, quality control, and delivery of recurring and ad hoc reporting

🎯 Requirements

• 8+ years of business analysis or BI experience, including building decision-making and financial models • 2+ years directly managing, developing, and growing a team of analytics or BI professionals • Expert-level SQL, Raplit, Tableau (or equivalent) experience • Track record of turning complex datasets into executive-ready insight • Bachelor's or Master's degree in Computer Science, Mathematics, Economics, Business Analytics, Finance, or a related quantitative field • Proven people leadership experience, including hiring, coaching, and retaining talent • Strategic decision-making through data rather than reporting alone • Executive-grade communication and ability to synthesize complex data into clear narratives and recommendations • Creative problem-solving in ambiguous challenges • Ability to align technical and non-technical stakeholders • Ability to define the right questions in ambiguous situations • Experience partnering across Data Science, Data Engineering, Product, and Operations to translate data into business impact

🏖️ Benefits

• Competitive base salary • Equity awards based on factors such as experience, performance and location • Cloud HQ distributed work model • Flexible work from wherever you are • Inclusive, innovative, and engaging culture • Employee growth opportunities • Equal employment opportunity and accommodation support