Data Analyst

Job not on LinkedIn

🔥 0 minutes ago

🌐 Armenia, Lithuania, +5 more countries – Remote

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⏰ Full Time

🟢 Junior

🟡 Mid-level

📉 Data Analyst

🚫👨‍🎓 No degree required

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Logo of Welltech

Welltech

201 - 500 employees

Founded 2017

🏥 Healthcare

💼 Consulting

📣 Marketing

💰 Series A on 2017-12

Healthcare • Consulting • Marketing

Welltech is a data-driven company specializing in health and wellness applications. With over 200 million installs, Welltech focuses on developing products geared towards fitness, weight loss, and healthy living, such as the popular apps Muscle Booster and Yoga-Go. The company's offerings are designed to improve the health of millions of people globally and include fitness guides, diet plans, and yoga routines. Welltech emphasizes constant growth and learning, supported by a team of over 700 professionals who work to create reliable, expert-endorsed content. Their products aim to offer comprehensive solutions for fitness and weight management, with a solid foundation in data and analytics.

📋 Description

• Analyze complex datasets to identify trends, user behavior patterns, and growth opportunities across the mobile subscription portfolio • Collaborate with Product, Marketing, and Finance stakeholders to formulate business hypotheses and answer ad-hoc analytical questions • Translate raw data into strategic recommendations • Design, evaluate, and interpret A/B tests and product experiments • Define, align, and track core business and product KPIs across teams • 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, including LTV, CAC, Retention, Churn, ARPU, and ROAS • Hands-on experience with A/B testing methodology, hypothesis testing, and statistical significance • Ability to synthesize technical data into clear visual insights and present recommendations to non-technical stakeholders • Experience using BI visualization tools such as Tableau, Looker, or Power BI is nice to have • Proficiency in data modeling, dbt, and Git-based analytics workflows is nice to have • Knowledge of mobile attribution platforms such as AppsFlyer or Adjust and product analytics tools such as Amplitude or Mixpanel is nice to have

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