Senior Product Data Scientist

Let’s face it, a company whose mission is human transformation better have some fresh thinking about the employer/employee relationship.

We do. We can’t cram it all in here, but you’ll start noticing it from the first interview.

Even our candidate experience is different. And when you get an offer from us (and accept it), you get way more than a paycheck. You get a personal Better Up Coach, a development plan, a trained and coached manager, the most amazing team you’ve ever met (yes, each with their own personal Better Up Coach), and most importantly, work that matters.

This makes for a remarkably focused and fulfilling work experience. Frankly, it’s not for everyone. But for people with fire in their belly, it’s a game-changing, career-defining, soul-lifting move.

Join us and we promise you the most intense and fulfilling years of your career, doing life-changing work in a fun, inventive, soulful culture.

If that sounds exciting—and the job description below feels like a fit—we really should start talking.

We are a hybrid company with a focus on in-person collaboration when necessary. Employees are expected to be available to work from one of our office hubs at least two days per week. Our hub locations include:
Raleigh, NC;
Austin, TX;
Chicago, IL;
Minneapolis, MN;
New York City, NY;
San Francisco, CA; and the Washington, DC metro area. If this is a role based in Europe, our Europe hub locations are London, UK and Amsterdam, The Netherlands. Please ensure you can realistically commit to this structure before applying.

At Better Up, data is the foundation of how we unlock human potential. We're looking for an experienced Product Analyst to partner with our Product squads, using genAI and advanced analytics to drive product innovation and optimize user experiences across our Human Transformation Platform.

You’ll thrive in this role if you're naturally curious, proactive in surfacing insights, and passionate about working in a fast-paced, high-growth environment where innovation, collaboration, and strategic thinking drive meaningful impact. If you're excited about leveraging the power of analytics and cutting edge technology to shape product strategy and create data-driven solutions, we'd love to see you! 🚀

• Partner with Product squads to design measurement strategies, define success metrics, and ensure data-driven decision making across the product development lifecycle
• Collaborate with Engineering to instrument new product features and build datasets that enable deep user behavior analysis and product performance monitoring
• Leverage GenAI tools to accelerate insight generation, automate routine analyses, and explore innovative approaches to understanding unstructured user feedback and behavioral patterns
• Champion data literacy and AI-powered analytics across product teams, training partners on both traditional self‑service tools and emerging GenAI capabilities for hypothesis generation and insight discovery
• Own and evolve product analytics infrastructure in Looker, including building self‑serve dashboards, defining key dimensions, and ensuring data quality across product metrics
• Design and analyze A/B tests and product experiments, translating results into clear recommendations for product optimization and feature development
• Conduct deep‑dive analyses to understand user journeys, identify friction points, and uncover growth opportunities that directly inform product roadmaps
• Build standardized KPI frameworks and automated reporting to monitor product ecosystem health, user engagement, and feature adoption
• Translate complex analytical findings into compelling narratives for cross‑functional stakeholders and executive leadership

• Technical expertise: 5+ years in SQL with strong statistical analysis coding/programming skills;
  LookML and Python experience preferred
• Product analytics depth: Proven experience in B2B SaaS product analytics, including user behavior analysis, funnel optimization, and cohort analysis; hands‑on experience with tools like Amplitude and experimentation platforms
• AI innovation mindset: Curiosity and hands‑on experience…