Senior Data Analyst, Quick Commerce & Partnerships

About the role

As a Senior Data Analyst in the Quick Commerce & Partnerships Analytics team, you will directly influence the quick commerce strategy across 16 markets by delivering actionable insights, advanced analytics, and AI‑driven solutions.

Key responsibilities

• Design and execute analytical methodologies such as causal impact modeling and ROI measurement for quick commerce investments.
• Collaborate with senior quick commerce, operations and supply‑chain partners to define analytics solutions and present insights.
• Develop complex SQL models in BigQuery and transform large datasets using dbt.
• Create dashboards and agentic solutions in Looker or Tableau to support decision‑making.
• Mentor junior analysts and drive AI‑powered automation, including anomaly detection and LLM‑assisted insight generation.

Required profile

• 5+ years of data analytics experience with strong SQL and Python skills.
• Experience supporting quick commerce, operations or supply‑chain teams is a plus.
• Proven ability to influence senior stakeholders and deliver actionable recommendations.
• Excellent communication and presentation abilities.

Required skills

• Advanced SQL (BigQuery or similar data warehouse).
• Python for data analysis.
• Data visualization tools: Looker, Tableau.
• Data transformation tools: dbt, Airflow (preferred).
• Statistical analysis and data modeling.

What we offer

• Dynamic and challenging work environment.
• Opportunities for personal and professional development.
• International team committed to diversity and inclusion.
• Regular company and team events.