Product Analyst – RnD

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Gismart

WebsiteLinkedInAll Job Openings

201 - 500 employees

👥 B2C

🧘 Wellness

📱 Media

B2C • Wellness • Media

Gismart is a mobile app developer that creates award-winning consumer apps across health, wellness, utilities, and music. The company reports more than 1 billion downloads worldwide and 30+ million monthly active users, and states a mission to make personal wellness more accessible through easy-to-use interactive technology. Gismart focuses on B2C mobile experiences that encourage healthy habits and provide music and utility apps for a broad consumer audience.

📋 Description

• Engage with key stakeholders, including product managers and marketers, to identify needs and shape the analytics strategy • Translate business questions into concrete metrics and analytical tasks, delivering decisions rather than raw numbers • Build and maintain dashboards, reports, and key metrics for data-driven decision-making • Build and validate LTV predictions for the web funnel, including early/predicted LTV from short cohort histories • Design event taxonomy and Amplitude dashboards for PMM, PM, and UAM requests • Analyze the web funnel, diagnose step-by-step drop-offs, and assess changes’ impact on conversion and monetization • Compute product unit economics, including ARPU, retention, payback, and ROAS tied to UA data

🎯 Requirements

• 1.5+ years of experience as a Product Analyst • Strong SQL skills, including cohort analysis, retention, and revenue aggregations • Hands-on LTV/pLTV experience, including cohort extrapolation, survival methods, ML regression, limitations with small data, and prediction validation • Amplitude dashboard building and event taxonomy experience • Understanding of mobile/web subscription-product metrics and user acquisition logic, including CPI, ROAS, ARPU, and payback • A/B testing methodology knowledge • Hands-on experience with BI tools such as Tableau or Power BI • Effective communication and presentation skills for conveying analysis results clearly and compellingly • Python skills using pandas, data visualization, and statistics are a plus • Experience with MMP data such as AppsFlyer or Adjust is a plus • Hands-on subscription-product experience is a plus • Data engineering experience is a plus • Direct experience working with a UA team is a plus