Product Analyst (Omo)

at  WellTech

Welcome to Welltech – a global IT powerhouse specializing in cutting-edge Health & Fitness mobile applications. With an impressive 200M+ installs and a suite of 6 revolutionary apps, we are positively transforming the lives of millions, nurturing healthier lifestyles and overall well-being.
With a solid six-year presence in the international market, Welltech boasts a dynamic team of over 600 passionate professionals across the globe. From intuitive nutrition trackers to innovative fitness solutions, we empower individuals to embark on a transformative journey toward optimal health and happiness.
We are currently seeking a talented and experienced Product Analyst with a focus on Product Monetization to join our Omo Team and help shape the future of our weight loss and health habits application.

REQUIRED EXPERIENCE AND KNOWLEDGE:

• 3+ years of experience as a data/product analyst in a product-focused company.
• Master’s degree in a related field.
• Proficiency in SQL for data retrieval and analysis.
• Proficiency in Python or R for data manipulation and statistical analysis.
• Strong Excel or Google Sheets skills for data analysis.
• Familiarity with visualization tools such as Tableau, Looker Studio, etc.

ROLE OVERVIEW:

As a Product Analyst, you will play a pivotal role in identifying growth opportunities, improving user flow funnels, and optimizing our product offerings. You will utilize your analytical skills to drive experiments (including A/B testing), validate hypotheses, and forecast results. Your work will enable the product team to understand the impact of features on high-level business and user goals, helping us continuously enhance our offerings.

MAIN FUNCTIONAL RESPONSIBILITIES:

• Research and analyze data to identify growth points and opportunities for improving user experience and product economics metrics.
• Generate and validate hypotheses through A/B testing and conduct preliminary calculations to forecast results.
• Collaborate with cross-functional teams to prioritize product hypotheses using data-driven insights.
• Formulate data-driven product hypotheses related to UI/UX enhancements, new features, content, personalization, and more.
• Create and maintain dashboards for comprehensive product, content, and audience analysis.
• Explore data to answer high-level questions and provide detailed data support to colleagues.
• Ensure event tracking accuracy and optimize tracking mechanisms.