Data Scientist, Payment and Revenue Product

Location: Palo Alto (hybrid)

NEXT’s mission is to help entrepreneurs thrive. We’re doing that by building the only technology-led, full-stack provider of small business insurance in the industry, taking on the entire value chain and transforming the customer experience. 

Simply put, wherever you find small businesses, you’ll find NEXT.

Since 2016, we’ve helped hundreds of thousands of small business customers across the United States get fast, customized and affordable coverage. We’re backed by industry leaders in insurance and tech, and we still have room to grow — that’s where you come in. 

Want to shape the future of insurance through data science? We are looking for a Data Scientist to join the growing data org that has a dedication to diving into data and thinking analytically about the health of revenue growth and profitability. The ideal candidate is excited to develop a thoughtful metrics framework, define and own company-level metrics, as well as influence stakeholders and the entire company’s strategy. If you have the passion for making an impact, the intuition to identify critical analytical questions, the technical ability for complex deep-dives, and the communication skills to help the team turn ideas into action - you belong here!

What You’ll Do: 

• Drive strategy and roadmap for profitability across the company, including customer journey, distribution channels and product portfolio by gaining insights of the customers and products
• Proactively work with cross-functional and/or cross-domain teams including product, marketing, revenue and corporate finance to influence their strategic roadmap and business direction by providing actionable insights
• Apply the expertise in data to identify, size, and prioritize opportunities pertaining to improving post-purchase lifecycle experience, customer engagement and retention, lifetime value, and ultimately profitability
• Own the data product, leading cross-functionally across  product, engineering, operations and finance teams to design the right microservice APIs, data models, logging, and data-pipeline foundations
• Design experiments and conduct causal analyses to provide actionable insights to influence product or strategy decisions
• Evaluate the historical business performance and trend, build statistical models to deliver forward-looking forecasts
• Develop dashboards to track company level and team metric progress against objectives, understand metric drivers, and help business stakeholders make data-driven decisions 

What We Need: 

• 5+ years of professional experience in a quantitative analysis role (experience working in fintech or with revenue & finance team is a plus)
• Ability to define the appropriate metric framework to empower the data-driven decision-making process
• Experience with experiment design, implementation, analysis, and recommendation for actionable insights
• Experience with forecasting customer and/or revenue growth
• Experience with statistical analysis such as causal inference and regressions is a plus
• Experience in influencing product, marketing, and corporate strategy team by providing accurate insights and effective communication
• Fluent in SQL and some experience with a programming language like Python a plus
• Experience building clear and easy-to-understand dashboards
• BA/BS degree 

Unstoppable Qualities: 

• Experience in shifting priorities while maintaining a high level of delivering impact
• Experience in end-to-end ownership of the data product