Data Analyst

Key Responsibilities:

• Analyse user behaviour across the platform — funnels, retention, engagement, and drop-off patterns — to surface actionable insights for product and tech teams
• Build and maintain dashboards and self-serve reporting tools that enable non-technical stakeholders to make data-driven decisions
• Partner with Product Managers on feature instrumentation, A/B test design, and post-launch analysis
• Investigate anomalies and trends in platform data, translating findings into clear narratives with recommendations
• Work with data engineers to ensure event tracking and data pipelines are accurate and well-structured
• Support business and commercial teams with ad hoc analysis related to orders, GMV, and user lifecycle metrics
• Contribute to the teams data culture by documenting methodologies, defining metrics, and championing best practices
  
  

• 2-4 years of experience in a data analyst or similar role, ideally in a tech, e-commerce, or marketplace environment
• Strong proficiency in SQL — you can write complex queries without hesitation
• Hands-on experience with a BI/visualisation tool (Looker, Tableau, Metabase, or similar)
• Solid understanding of product analytics concepts: funnels, cohorts, retention curves, A/B testing
• Ability to translate ambiguous business questions into clear analytical frameworks
• Strong communication skills — you can present findings to both technical and non-technical audiences
• Comfortable working in a fast-paced, high-autonomy environment
  
  

• Experience with Python or R for analysis and automation
• Exposure to dbt, BigQuery, Snowflake, or similar modern data stack tools
• Prior experience in food delivery, marketplace, or on-demand platforms
• Familiarity with product event tracking tools (Segment, Mixpanel, Amplitude)
• Experience supporting A/B testing frameworks end-to-end