We believe that your physical activity has tangible value and our goal is to make the world physically active. We do this by turning your physical activity into a token - $SWEAT - that has real-world value. With more than 17 million token holders $SWEAT is one of the world’s most-widely-held tokens and with nearly 3 million users our non-custodial wallet - Sweat Wallet - is one of the biggest onramps helping people curious about crypto to enter the world of web3. In essence, we make the world healthier AND wealthier.

We are looking for a Product Analyst to play a key role in optimizing and navigating the process of building the Sweat Wallet into the biggest mobile crypto wallet application that makes the world healthier and wealthier at the same time.

If you are interested in solving complex problems and working alongside the best software developers, product managers and designers then we look forward to welcoming you to our team!

What You Will Do

• Support a cross-functional team of Product managers, Engineers, Designers and QAs in delivering the product that our users love and which makes them healthier and wealthier.
• Work closely with the Product team to optimize UX within the mobile app (both iOS and Android), making its usage simpler, more engaging and more valuable to the user.
• Combine data engineering, statistical analysis and data visualization skills to generate insights and find opportunities for product development.
• Define metrics and KPIs relevant to the product objectives and analyze the factors that influence these metrics.
• Design, conduct and analyze A/B(/C) tests to ensure that every product or feature released delivers value to the user and meets business objectives.
• Devising analyses and dashboards enabling decision-making in highly complex and rapidly evolving environment of crypto industry
• Dealing with huge data sets spanning millions of users, dozens of data sources and years of history aggregated into BigQuery

What We Expect From You

• Experience in mobile app analytics of 2+ years
• Advanced SQL (window functions, subqueries) and Python (pandas, numpy, sklearn)
• Ability to write production-ready code (docker, git, airflow)
• Knowledge and experience of statistical methods
• Product-oriented mindset with focus on delivering value to our users
• Strong attention to detail, ownership and a proactive mindset
• Excellent English-speaking skills to communicate effectively within the team
• Mastery of balancing between self-management and dynamic teamwork