Performance Analyst

Chợ Tốt is Vietnam's leading online classifieds platform, connecting millions of buyers and sellers across various categories. At Chợ Tốt, data is at the heart of how we understand our users and build impactful products. We are committed to innovation, data-driven decisions, and creating seamless user experiences. 

As a Performance Analyst, you will work closely with Growth, Marketing, and Product teams to analyze performance, measure the impact of campaigns and product changes, and support data-driven decision-making. 

If you want to turn your data passion into a massive product impact for a 10M+ user base monthly, this role is for you.

Key Responsibilities

1. Performance & Growth Analytics

• Analyze and optimize performance across acquisition, retention, engagement, monetization, and marketplace efficiency, using data to identify key drivers of growth and inefficiencies.
• Develop a holistic understanding of marketing and growth activities across channels and initiatives, connecting performance signals to make clear recommendations on prioritization, de-prioritization, and resource and budget allocation.
• Define, track, and own core performance metrics, and apply cohort analysis to understand how these metrics evolve across user segments over time.
• Apply growth accounting and distribution-level analysis to decompose growth into New, Retained, Expansion, Churned, and Resurrected components, and assess the depth and scalability of product-market fit.
• Translate analytical insights into data-informed recommendations for product strategy, go-to-market focus, and investment prioritization.
• Build scalable dashboards and reporting frameworks to support executive and cross-functional decision-making.

2. Experimentation & Impact Measurement

• Design, analyze, and interpret A/B tests and controlled experiments to evaluate campaigns, product features, and growth initiatives, with a focus on measuring true incremental impact rather than relying solely on aggregate metrics. 
• Apply counterfactual reasoning to assess what would have happened without an intervention, and use uplift or incremental response analysis to identify which users are most likely to benefit from specific treatments. 
• Support data-driven targeting and personalization strategies to maximize ROI while minimizing waste and negative user impact.