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Product Data Analyst

72% Flex
Remote: 
Full Remote
Contract: 
Work from: 

Offer summary

Qualifications:

Advanced SQL and Python skills, Statistical methods experience.

Key responsabilities:

  • Analyze data for growth strategies
  • Work on new features to increase user engagement
  • Collaborate in cross-functional teams to improve product
  • Define metrics and KPIs, conduct A/B tests
Sweatcoin logo
Sweatcoin Scaleup https://sweatco.in/
51 - 200 Employees
See more Sweatcoin offers

Job description

Logo Jobgether

Your missions

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 drive growth by analysing and optimising virality loops, LTV, referral programs and other growth-oriented campaigns in the app.
  • Work in a cross-functional team which includes a Product manager, Engineers, Designers, QA.
  • Be a part of working on new and existing features aimed at bringing in more users and keeping them in the app for longer
  • 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 analyse the factors that influence these metrics,
  • Design, conduct and analyze A/B tests with the recommendations.

What we expect from you

  • 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
  • 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, when borders are open, we will announce the next adventure!
  • Health insurance coverage
  • WellBeing program, which supports up to 2 counselling sessions per month
  • Unlimited time-off policy

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

Required profile

Experience

Spoken language(s):
English
Check out the description to know which languages are mandatory.

Soft Skills

  • Problem Solving
  • Patience
  • collaboration
  • communication
  • Customer Service
  • Empathy

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