Senior Data Analyst, Growth

Our mission is to create authentic belonging experiences for those who own much-loved homes, and those longing for that feeling.
Belong is changing what it means to rent a home by putting people first. It’s where hospitality meets consumer real estate—and it’s about to redefine an entire industry. We’re backed by Andreessen Horowitz (a16z), GGV Capital, and Battery Ventures, just to name a few of our all-star investors.
We are looking for a Senior Product Analyst who will play a key role in growing our core products for homeowners and residents across several markets. The Senior Product Analyst is a role embedded within the product and engineering teams and is responsible for driving growth and strategic improvements through the end-to-end product development cycle. We are looking for someone with quantitative skills combined with strong business acumen and product sense as well as cross-functional collaboration skills. 

Responsabilities

• ​​Apply your expertise in quantitative analysis, data mining of structured and unstructured data to extract key insights that drive strategic product and business decisions for Belong
• Ability to effectively present the data in a way that helps the company see and understand key insights into how our consumers interact with our ecosystem of products
• Identify growth opportunities that remove barriers to product adoption, engagement, retention, and monetization.
• Understand funnels, two-sided marketplace flywheels, multi-product ecosystems, and end-to-end consumer behaviors to shed light on the historical and future adoption of our products.
• Own, define, analyze and monitor metrics that help inform the health and success of Belong products in all markets we serve.
• Own, design, interpret and communicate A/B experiment results to product and stakeholder teams.
• Partner with cross-functional teams in product, business, and engineering teams on projects that identify new opportunities and help accelerate the growth and adoption of all products 
• Influence teams across the company through the presentation of data-driven recommendations 
• Demonstrate ability to switch between tactical execution and high-level strategy

Required Qualifications

• BS or MS degree in a technical discipline like Math, Statistics, Economics, Operations Research, or other relevant technical fields.
• 4+ years of experience in a data analytics or data science role in an analytical, business strategy, marketing, or engineering organization.
• 4+ years of experience with data querying and manipulation using SQL, Python, or R.
• Experience with design and running experiments  Strong communication and presentation skills.
• Self-starter, comfortable with ambiguity, experience initiating and driving projects with minimal oversight and guidance.