We’re building a fast-growing Health & Fitness startup that helps women 40+ look, feel, and live better through personalized workout programs and wellness plans. We’re at an early and exciting stage - launching our mobile app that will inspire thousands of women every day to keep moving forward. We’re looking for a Product Data Analyst who doesn’t just answer questions, but shapes them. Someone who thinks deeply, acts independently, and sees cause-and-effect patterns where others see only numbers. 💥 What You’ll Be Doing: • Own the full cycle of analytical tasks end-to-end: from forming hypotheses → data gathering → analysis → actionable recommendations that influence the product and profitability. • Build scalable, structured, and easy-to-read dashboards, primarily in Tableau (our main BI tool). • Analyze key product and marketing metrics: funnels, retention, LTV, cohorts. • Design and evaluate A/B tests: experiment setup, proper metric selection, statistical validity, and interpretation. • Work with advertising attribution and channel performance (Meta, Google, TikTok, affiliate). • Support forecasting processes, unit economics modeling, and strategic product decision-making. • Write analytics event specifications / prepare requirements for technical implementation. • Present insights in a clear format: “here’s the essence → here’s why it matters → here’s what we do next.” 💥 Requirements: Hard Skills • Strong SQL (Redshift is a plus, but not mandatory). • Deep expertise in Tableau (dashboard creation, optimization, structure, and analytics UX). • User behavior analytics: funnels, retention, cohort analysis, LTV. • Understanding of advertising attribution and performance metrics: ROAS/ROMI, CAC, CPPU, etc. • Experience running A/B tests and correctly interpreting the results. • Knowledge of unit economics, marketing efficiency, and financial modeling. • Python is a plus (not a must). Soft Skills • Independence and the ability to dig deep into problems without constant guidance. • Analytical curiosity: the desire to uncover root causes, not superficial symptoms. • Systems thinking: understanding how one metric impacts others and the overall product dynamics. • Polish-oriented mindset - clean data, clear naming, transparent logic. • Strong communication -making the complex simple and the lengthy concise. • Proactivity - coming with solution options, not with “what should I do?” questions. Nice to Have • Experience in mobile apps, subscription products, fitness/wellness domains. • Working with marketing APIs and event analytics (Amplitude/Redshift). • Understanding of forecasting models or causal inference. •   ✅ Why Join Us • Become a key member of a product-focused startup. • Work in an environment where your contributions won’t sit “in a desk drawer.” • Collaborate directly with the founders. • Unlimited vacation days