Data Analyst
The Chefz
Posted: April 16, 2026
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Quick Summary
Analyse user behaviour across the platform — funnels, retention, engagement, and drop-off patterns — to surface actionable insights for product and tech teams.
Required Skills
Job Description
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 team's data culture by documenting methodologies, defining metrics, and championing best practices.
Requirements:
• 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.
Nice to have
• 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.