Do you want to take the first step in making Filipinos lives better everyday Here in GCash we want to stay at the forefront of the FinTech industry by creating innovative, meaningful, and convenient financial solutions for the nation! G ka ba Join the G Nation today!
Responsibilities:
- Data Enablement: Manages data pipelines that support app management including audience generation, segmentation frameworks and data inputs for algorithms.Partners closely with Data Office and Business/Growth teams to translate business objectives into data products (models, audiences, dashboards, signals).
- Experimentation and Development: Designs A/B testing frameworks, incrementality measurement and Control strategies. Defines Long-Term Customer Value. Defines analytical frameworks used to evaluate app growth, yield efficiency (supply, demand and fulfillment), app reliability
- Data Operations: Ensures analytical rigor and trust, including data validation, transparency and governance.
- Data Analytics: Leads analytics across App Management domains.
- App Operations - RUM, NPS, Product Analytics
- CRM/Superapp - Traffic, Supply, Demand/Audience
- Develops advanced analytical models in partnership with Data Science and Algorithm teams - Propensity and affinity models, Supply Optimization, etc
Qualifications:
- 8+ years of experience in data analytics, product analytics, data enablement or related roles, with leadership experience in digital products, fintech or large-scale consumer apps.
- Proven experience building analytics and data capabilities from the ground up.With demonstrated ownership of end-to-end analytics, including instrumentation, experimentation and insight generation.
- Experience with modern data stacks and app analytics tools (e.g., Mixpanel, Google Analytics 4, or Clevertap) and CRM platforms is highly preferred.
- Proven ability to lead and scale high-performing analytics teams, including mentoring and capability building.
- Strong stakeholder management skills, able to influence senior leaders and stakeholders through data and insight
