Product Data Analyst

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Sweatcoin is a mission-driven mobile app, that’s looking to make 1 Billion people more active.Collectively we’re building a product that has a meaningful, positive impact on the daily lives of our 140M+ customers across the world. Our goal is to inspire a healthier planet by unlocking the value of movement leveraging behavioural science, extrinsic rewards and intrinsic health benefits to get the world physically active.The most downloaded Health app of the year (2022), having been No.1 Overall App in 56 countries and counting!If you are interested in solving complex problems, then we are looking forward to seeing you be a part of our team!About Sweatcoin:

A team of exceptional people who celebrate our community by being supportive and creative all the way. All together we’re multiplying each other’s talents which inspire us to develop a product we’re all proud of.
A product that promotes health and fitness in more than 100 countries.
A startup that actually works. We are completely self-sufficient yet our investors are excited to provide us with even more resources to keep growing. We recently broke our record of 10M new users each week.
Cutting-edge technology: our models ensure step verification, preventing any cheating, even by pets earning coins for their owners.
Automatised A/B tests and analytics that is deeply integrated into the product supported by a modern data stack (jupyter, bigquery, airflow, looker)
Diverse and impactful tasks: a variety of projects, from optimizing user experience to creating innovative data solutions, directly impacting millions of users worldwide.
Continuous learning: grow with the team through collaboration on challenging projects and exploring new technologies to expand your skills and improve workflows.

What you will do:

Work closely with the Product team to analyze and improve product mechanics and user experience.
Conduct deep-dive research to identify product inefficiencies, pain points, and opportunities for improvement, uncover insights and validate hypotheses.
Investigate how users interact with features, detect bottlenecks, and provide actionable recommendations.
Define key product metrics, analyze their fluctuations, and identify underlying drivers.
Design, execute, and interpret A/B tests and experiments to refine product features.
Collaborate with Product Managers, Engineers, Designers, and QA to support data-driven decision-making.

What we expect from you

Advanced SQL (window functions, subqueries) and Python (pandas, numpy, sklearn)
Ability to write production-ready code (docker, git, airflow)
Strong foundation in probability theory and mathematical statistics
Knowledge and experience of statistical methods
Product-oriented mindset
Strong attention to detail, ownership and proactive mindset
Excellent English-speaking skills to communicate effectively within the team
Mastery of balancing between self-management and dynamic teamwork
ML experience will be an advantage

What you get in return:

Remote-friendly & Flexible working hours. The flexibility is incredible, performance is based on output, rather than hours spent working, you can be wherever you want!
Apple devices for work
Team buildings abroad in exciting locations!
Health insurance coverage
WellBeing program, which supports up to 2 counselling sessions per month
Unlimited time-off policy

If you feel that’s a match we would be excited to have you on our team!

Sweatcoin

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