Product Data Analyst

Join the Product Data Analyst role at Sweatcoin

Sweatcoin is a mission‑driven mobile app that’s looking to make 1 Billion people more active by unlocking the value of movement leveraging behavioural science, extrinsic rewards and intrinsic health benefits.

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.
• Automated A/B tests and analytics that are deeply integrated into the product supported by a modern data stack (Jupyter, Big
  Query, 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
• Well
  Being program, which supports up to 2 counselling sessions per month
• Unlimited time‑off policy

Seniority level

• Entry level

Employment type

• Contract

Job function

• Information Technology

Industries

• Internet Publishing