Senior Data Analyst, Product Analytics

Join Shop My – Powering the Future of Digital Marketing

Shop My is transforming e-commerce by building the infrastructure for human-led curation  help brands run performance-driven creator programs while enabling top creators to monetize their influence and partner directly with the brands they love—driving discovery through trusted taste makers and authentic recommendations. Shop My recently became a unicorn, raising at a $1.5B valuation with backing from Bessemer Venture Partners, Avenir Growth Capital, and Bain Capital Ventures.

At Shop My, you're building the future of human-led commerce for the world's best brands, taste makers, and shoppers. You move fast and see immediate impact in your work, alongside accomplished teammates who are driven by helping find the world's best things. If you’re excited to help shape the future of curated commerce at the intersection of technology, culture, and taste, we’d love to meet you.

We’re looking for a Senior Data Analyst to join Shop My’s growing Data & Analytics team and become a dedicated analytics partner to Product, Engineering, and Design. This role is about helping every product perform to its potential: establishing what success looks like, ensuring the right behaviors are tracked, validating launches, and making it easy to see what’s working, what isn’t, and where the next opportunity lies.

You know how to identify what drives value and unlock it through better measurement, systems, and analysis. You don’t wait for every question to be handed to you. You dig into user behavior, conversion funnels, product performance, and user feedback to find gaps and opportunities, then work with the right teams to act on them. When data is missing, inconsistent, or misleading, you trace the issue to its source and help drive a complete solution.

You bring substantial technical depth and strong product intuition. You can think in SQL, build thoughtful data models, create dashboards that tell a clear story, and translate nuanced findings into clear recommendations. You know that technically correct results can still tell the wrong story, and you have the judgment to recognize when the data does not reflect the user behavior or business question it is meant to explain.

You use AI to multiply your output without outsourcing your judgment.

Shop My sits at the intersection of SaaS, e-commerce, and a multi-sided marketplace, creating an unusually broad product analytics problem space. You’ll work across creator, brand, and shopper experiences, help define how we measure AI-powered products, and explore how AI can continuously monitor performance, surface anomalies, and generate insights. This is a high-autonomy role with a direct line from your work to Shop My’s product decisions and business performance.

• Own product analytics for key areas, partnering with Product, Engineering, and Design to define success criteria, tracking requirements, and measurement plans from discovery through launch and optimization
• Build and maintain product data models, dashboards, and analyses that make adoption, conversion funnels, user behavior, product performance, and opportunities clear and actionable
• Validate launches and monitor live products, creating alerts and quality checks that identify instrumentation gaps, product regressions, anomalous behavior, and data issues early
• Conduct deep-dive analyses to identify, quantify, and prioritize opportunities that improve product performance and drive business impact
• Design and evaluate experimentation and measurement strategies, including A/B testing, incrementality, and attribution
• Audit product tracking across web and mobile sources, events, and transformations, partnering with Data Infrastructure and Engineering to resolve gaps and build the models or pipelines needed for reliable analysis
• Help measure and improve AI-powered products, and develop AI-enabled analytics workflows that monitor performance, interpret feedback, and surface insights at scale
• Communicate clear recommendations, challenge assumptions when needed, and quantify the impact of product and analytics initiatives for stakeholders and leadership