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.
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.