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