We are seeking a Data Analyst (Growth) to take analytical ownership of our marketing acquisition and channel performance. This is a high-impact role within the Growth team, where you will build the analytical backbone for scaling our customer base across the Philippines and beyond. You will move beyond reactive reporting to proactively drive budget allocation, experimentation cycles, and attribution modeling.

As a key partner to Growth leadership, you will design robust A/B tests and build scalable measurement frameworks that connect marketing spend to revenue outcomes. You will collaborate closely with the Data Warehouse (DWH) team to ensure data quality and build consistent marketing data models. If you combine statistical rigor with sharp business thinking and want to directly influence the unit economics of a fast-growing fintech unicorn, Salmon is the place to grow your career.

• Own marketing analytics for specific growth directions, acting as the primary partner for the Marketing team.
• Analyze acquisition efficiency metrics (CAC, CPA, ROAS, LTV) and unit economics to provide actionable scaling recommendations.
• Design, execute, and evaluate A/B tests and advanced experimentation methods to accelerate growth cycles.
• Develop and refine attribution models to ensure marketing channel performance is accurately measured and trusted.
• Support cross-product budget planning and sales forecasting, linking spend directly to revenue performance.
• Collaborate with the DWH team to build and maintain consistent marketing data models in the data warehouse.
• Build and maintain automated dashboards and self-service reporting for business stakeholders.
• Identify and resolve data gaps or tracking inconsistencies to ensure high data quality across the growth funnel.
• Translate complex business questions into structured analytical tasks that drive proactive decision-making.

• 2+ years of experience as a Data, Product, or Marketing Analyst in a high-growth product environment.
• Strong understanding of growth metrics, marketing funnels, and unit economics (LTV/CAC).
• Solid foundation in probability and statistics with hands-on experience in A/B testing methodology.
• Expertise in SQL for independent data extraction and analysis of large datasets.
• Experience building dashboards and reports in modern BI tools (e.g., Tableau, Looker, or Superset).
• Familiarity with attribution concepts and measuring performance across product and marketing flows.
• Ability to collaborate effectively with engineering/DWH teams to improve data infrastructure.
• Professional fluency in English (B2 level or higher) for international team collaboration.
• Bonus: Experience with causal inference methods for incrementality or media mix modeling.