salmon-group - Data Analyst (Growth)

Georgia; Armenia; Kazakhstan; Metro Manila3w ago

Remote Mid APAC Nonprofit Marketing Manager Sales Engineer Budget Forecasting Product Marketing SQL CPA CAC

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Requirements

• 2+ years of experience as a Product Analyst / Marketing Analyst / Data Analyst in a product-driven environment. • Strong understanding of marketing and growth metrics, funnels, and unit economics. • Strong foundation in probability/statistics and/or hands-on experience with advanced A/B testing methods. • Experience with acquisition analytics, budget effectiveness analysis, and channel performance evaluation. • Experience with attribution concepts and measurement across product + marketing flows. • Familiarity with causal inference methods (or strong interest + ability to apply them) for incrementality / media campaign analysis. • Solid SQL skills; ability to work independently with large datasets. • Experience building dashboards and reports (any BI tool). • Ability to collaborate with DWH/engineering teams to improve data models and analytical tooling. • Ability to translate business questions into analytical tasks and actionable insights.

Responsibilities

• Within 6–9 months, you will independently own analytics for your growth direction - driving experimentation, attribution, forecasting, and budget decisions - while proactively generating growth hypotheses, improving measurement frameworks (including incrementality where relevant), and acting as a trusted analytical partner to Growth leadership. • Own marketing analytics for the assigned directions, acting as the primary analytical partner for Growth/Marketing. • Analyze acquisition efficiency (CAC/CPA/ROAS/LTV and unit economics) and provide actionable recommendations. • Design, run, and evaluate experiments (A/B tests and advanced methods); clearly communicate results, risks, and next steps. • Measure and improve attribution for acquisition channels; ensure definitions and logic are consistent and trusted. • Support cross-product budget planning and sales forecasting; help connect spend → performance → revenue outcomes. • Ensure correct tracking, attribution, and data quality; proactively identify and resolve data gaps/inconsistencies. • Collaborate closely with the DWH team to build a convenient, consistent marketing data model enabling reliable analysis. • Build and maintain dashboards and self-service reporting for marketing and business stakeholders. • Translate business questions into analytical tasks and drive decision-making—not just produce reports. • Take responsibility for outcomes within the owned scope, not only for delivering analysis.