Data Analyst

Data AnalystWelltech 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.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