Director, Revenue Analytics at Whatnot

Los Angeles, California, United States -

Full Time

Start Date

Immediate

Expiry Date

10 Apr, 26

Salary

330000.0

Posted On

10 Jan, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analytics, Leadership, Business Analysis, Statistics, Mathematics, Economics, SQL, Data Engineering, Machine Learning, Data Visualization, Communication, Critical Thinking, Ecommerce, Big Data Technologies, Predictive Insights, Team Development, Cross-Functional Collaboration

Industry

technology;Information and Internet

Description

🚀 Join the Future of Commerce with Whatnot! Whatnot is the largest live shopping platform in North America and Europe to buy, sell, and discover the things you love. We’re re-defining e-commerce by blending community, shopping, and entertainment into a community just for you. As a remote co-located team, we’re inspired by innovation and anchored in our values. With hubs in the US, UK, Germany, Ireland, and Poland, we’re building the future of online marketplaces –together. From fashion, beauty, and electronics to collectibles like trading cards, comic books, and even live plants, our live auctions have something for everyone. And we’re just getting started! As one of the fastest growing marketplaces, we’re looking for bold, forward-thinking problem solvers across all functional areas. Check out the latest Whatnot updates on our news and engineering blogs and join us as we enable anyone to turn their passion into a business, and bring people together through commerce. 💻 Role We are looking for an intellectually curious and highly motivated Director of Revenue Analytics to be a foundational member of our Data team! You will lead, grow and scale a division of the analytics team that is focused on being experts in the business, providing rapid analysis and actionable predictive insights. You will have to balance the human element of leading the team, with the analytical realities of a rapidly changing and growing business. You should feel comfortable scaling and leading a team of up to 20 people. In this role, you will own end-to-end financial data integrity for a billion dollar GMV marketplace. You will be the subject matter expert for Whatnot’s P&L as understood through data and its revenue levers including but not limited to Orders, Ad Revenue, Refunds and Reversals, Payment Processing, Logistics, and Incentives. Working with cross-functional teams, you will make decisions on trade-offs between top line metric growth and profitability. Additionally, you will: Lead and grow a division of the Analytics team of data scientists and data analysts Own your domain, responsible for the results and analytics of your area to drive insight and informed recommendations for the business. Create and share the vision for the broader Analytics team and work with leadership to transform it into a driving force in strategy and operations of the company Foster a culture of analytical experts that is focused on maximizing the customer experience to drive top line and bottom line growth. Coach, develop and scale a team that is excited to be a part of the organization in anticipation of the growing demands of the business Shape the company and analytics roadmap through data driven decisions across core functions of the business and executive leadership. Spearhead the strategic data driven vision that captures billion dollar GMV opportunities Organize and shape the collective understanding of business health and opportunities through various data sources both internal and external. Act as cross functional leader driving cohesive decision making and actions across teams. We offer flexibility to work from home or from one of our global office hubs, and we value in-person time for planning, problem-solving, and connection. Team members in this role must live within commuting distance of our San Francisco, Los Angeles, Seattle, and New York hubs. 👋 You Curious about who thrives at Whatnot? We’ve found that embodying a low ego, growth mindset, and high-impact drive goes a long way here. You will lead a division of analytics and partner across all teams including Category Expansion, Marketing, Product, Finance, Commerce and Logistics teams to identify critical goals for the business, develop a deep understanding of them, and design scalable solutions. This isn’t a purely analytical role, and you’ll be in a leadership position tasked with ensuring people, teams and projects are supported while also scaling the analytical team for the future. You should have strong critical thinking and analytical skills, excellent communication abilities, and a knack for working across teams in a fast-paced environment. The ideal candidate will be adept in navigating the data stack and able to support initiatives in all facets from data engineering and product analytics to machine learning and service deployments. You feel comfortable making decisions and working quickly and iteratively. In addition to 8+ years of experience in the Data Analytics field, you should have: 4+ years of experience of leading a team, with a minimum team size of 5 Previous experience working with marketplaces, ecommerce, mobile gaming, or social media Excellent verbal communication and presentation skills to stakeholders, leadership, and investors Demonstrated history of knowledge in Business Analysis, Statistics, Mathematics, Economics or related technical fields Industry experience with proven ability to apply scientific methods to solve real-world problems on large scale data Proven track record of building and leading data science teams supporting International Expansion, Go To Market, Product, Marketing, Finance, or Operations teams Ability to lead initiatives across multiple product areas and communicate findings with leadership and stakeholders Comfortability with data warehouses and big data technologies such as Redshift, Snowflake, Big Query, Presto, Athena, Spark, DBT Expert in using SQL and scripting languages for data analysis, reporting, and dashboarding Firm grasp of visualization tools interactive and self-serving such as business intelligence and notebooks 💰Compensation For Full-Time (Salary) US-based applicants: $215,000/year to $330,000/year + benefits + equity. The salary range may be inclusive of several levels that would be applicable to the position. Final salary will be based on a number of factors including, level, relevant prior experience, skills, and expertise. This range is only inclusive of base salary, not benefits (more details below) or equity. 🎁 Benefits Generous Holiday and Time off Policy Health Insurance options including Medical, Dental, Vision Work From Home Support Home office setup allowance Monthly allowance for cell phone and internet Care benefits Monthly allowance for wellness Annual allowance towards Childcare Lifetime benefit for family planning, such as adoption or fertility expenses Retirement; 401k offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationally Monthly allowance to dogfood the app All Whatnauts are expected to develop a deep understanding of our product. We're passionate about building the best user experience, and all employees are expected to use Whatnot as both a buyer and a seller as part of their job (our dogfooding budget makes this fun and easy!). Parental Leave 16 weeks of paid parental leave + one month gradual return to work *company leave allowances run concurrently with country leave requirements which take precedence. 💛 EOE Whatnot is proud to be an Equal Opportunity Employer. We value diversity, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, parental status, disability status, or any other status protected by local law. We believe that our work is better and our company culture is improved when we encourage, support, and respect the different skills and experiences represented within our workforce.

Responsibilities

Lead and grow a division of the Analytics team focused on providing rapid analysis and actionable predictive insights. Own end-to-end financial data integrity for a billion dollar GMV marketplace and make decisions on trade-offs between top line metric growth and profitability.