Data Analyst

Who Are We? Welltech is a global wellness technology company with Ukrainian roots. Our mission is to build and scale wellness apps globally through state-of-the-art, tech-driven performance marketing. We are one of the most established players in the wellness app space, and we are accelerating. Over 25.5 million people across the world use our apps — Muscle Booster, Yoga-Go, and WalkFit — to build healthier habits, move more, and feel better every day. Every subscription represents a real person making a real change in their life, and we take that seriously. With 500+ people across hubs in Cyprus, Ukraine, Poland, Spain, and the UK, we combine the scale of a market leader and the drive of a team that's just getting started. What We're Looking For We’re looking for a Data Analyst to join our Business Operations Analytics team and turn complex product, marketing, and operational data into clear, actionable insights that drive smarter business decisions. You’ll play a key role in analyzing user behavior, evaluating product and marketing performance, evaluating experiments, and providing cross-functional teams with data-backed recommendations to optimize growth and user retention. What you’ll do: Analyze complex datasets to identify trends, user behavior patterns, and growth opportunities across our mobile subscription portfolio. Collaborate with cross-functional stakeholders (Product, Marketing, Finance) to formulate business hypotheses, answer ad-hoc analytical questions, and translate raw data into strategic recommendations. Design, evaluate, and interpret A/B tests and product experiments to drive data-informed feature and campaign optimizations. Define, align, and track core business and product KPIs across teams to ensure unified decision-making. Build automated reports and clean analytical data structures to support self-serve analytics and operational visibility. Requirements: 2+ years of experience in a Data Analyst, Product Analyst, or Business Analyst role. Advanced SQL skills for data extraction, manipulation, and complex aggregations. Experience in statistical analysis, data processing, and exploratory analysis . Solid understanding of subscription-based mobile app metrics (LTV, CAC, Retention, Churn, ARPU, ROAS). Hands-on experience with A/B testing methodology, hypothesis testing, and statistical significance. Strong analytical storytelling skills — ability to synthesize technical data into clear visual insights and present recommendations to non-technical stakeholders. Proactive mindset with a curiosity to dive deep into data to solve open-ended business problems. Nice to have: Experience using BI visualization tools (e.g., Tableau, Looker, Power BI) to communicate analytical findings. Proficiency in data modeling, dbt, and Git-based analytics workflows. Knowledge of mobile attribution platforms (e.g., AppsFlyer, Adjust) and product analytics tools (e.g., Amplitude, Mixpanel). Candidate journey ⭕️ Recruiter call --> ⭕️ Skills assessment --> ⭕️ Meet the Leadership team Check out some of our products Muscle Booster — https://musclebooster.fitness/ Yoga-Go — https://yoga-go.io/ WalkFit - http://walkfit.pro