About us:
Gismart is a value-driven mobile app developer with a strong presence in the Health & Wellness, Utilities, and Music app markets. We have achieved a significant milestone of over 1 billion downloads worldwide, taking a step toward our mission of cultivating the well-being of people worldwide. With headquarters in London, UK, Gismart is a dynamic global company with a reach extending across Europe and far beyond. Our determined team comprises over 350 individuals who bring diversity, creativity, innovation, and relentless drive to the company. Gismart unites professionals from diverse backgrounds in entertainment, music, and tech, allowing us to play to each other’s strengths and succeed as a team.

Our mission:
Become a stepping stone on our customers’ journeys of self-improvement.

Our values:

• Deliver what matters
• Respect and support others
• Initiate and own
• Voiceopenly
• Execute with quality

If you are passionate about mobile app development and want to join a company that’s reshaping the industry, Gismart is the place for you. We provide exciting career opportunities, a supportive workplace culture, and the chance to contribute to a team that is making a tangible impact. For more information on Gismart, visit gismart.com.

Responsibilities:

• Engage with key stakeholders (product managers, marketers) to identify needs and shape the analytics strategy.
• Translate stakeholders’ business questions into concrete metrics and analytical tasks; deliver decisions, not raw numbers.
• Build and maintain dashboards, reports, and key metrics to support data-driven decision-making.
• Build and validate LTV predictions for the web funnel, including early/predicted LTV on short cohort history. 
• Design event taxonomy and Amplitude dashboards for specific PMM, PM, and UAM requests. 
• Analyze the web funnel: diagnose drop-offs between steps, assess the impact of changes on conversion and monetization. 
• Compute product unit economics: ARPU, retention, payback, and ROAS tied to UA data.

Requirements:

• 1.5+ years as a Product Analyst
• Strong SQL: cohort analysis, retention, revenue aggregations. 
• Hands-on LTV/pLTV experience: understands the methods (cohort extrapolation, survival, ML regression), their limitations with small data, and how to validate predictions. 
• Amplitude: dashboard building, event taxonomy. 
• Understanding of mobile/web subscription-product metrics and UA logic (CPI, ROAS, ARPU, payback). 
• A/B testing methodology.
• Hands-on experience with BI tools such as Tableau or Power BI.
• Effective communication and presentation skills to convey analysis results clearly and compellingly.

Would be a plus:

• Python skills (pandas, data visualization, statistics) for data manipulation and analysis.
• Experience with MMP data (AppsFlyer/Adjust).
• Hands-on experience with subscription products.
• Data engineering.
• Direct experience working with a UA team.