Data Analyst (Quick Commerce & Partnerships)

As a Data Analyst in the Quick Commerce & Partnerships Analytics team, you will be part of our mission to drive impactful decisions and incremental value across our 16 markets. You'll support the team by conducting deep-dive analyses, maintaining data consistency and providing high-quality strategic insights that drive decisions on key quick commerce levers, from dark store expansion and assortment changes to delivery fee adjustments and discounting. This is a foundational role offering the opportunity to grow technical skills, gain exposure to high-impact projects, and learn from experienced data professionals who work on big problems at a global scale, leveraging the latest AI tools and analytical techniques.

Responsibilities

Conduct deep-dive analyses and maintain data consistency; Provide high-quality strategic insights that drive decisions on quick commerce levers (dark store expansion, assortment changes, delivery fee adjustments, discounting); Utilize descriptive, predictive, and prescriptive analytics to measure incremental impact and make actionable recommendations on quick commerce investments, customer conversion funnel, cost/margin optimization, and tactical execution; Build and refine measurement frameworks and metric definitions for key quick commerce initiatives; Support the development of SQL models and transform massive datasets into actionable insights using BigQuery (SQL), Excel, and dbt; Build dashboards (e.g., Looker, Tableau) and agentic solutions (e.g., root-cause analysis agents) that facilitate decision-making; Collaborate with quick commerce, operations, and supply chain partners to understand objectives, recommend analytics solutions, and present insights; Monitor data quality and participate in QA processes; Evaluate and implement AI-powered solutions, including agentic workflows, LLM-assisted insight generation, and prompt-engineered pipelines

Requirements

Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or a related field; Overall 2-4 years of experience in data analytics; 2+ years of proficiency in SQL; Experience with at least one data visualization tool (e.g., Looker, Tableau); Strong communication skills, with an ability to present findings in a clear and concise way to various levels of business partners; A team-oriented mindset with a willingness to learn and take on new challenges

Nice to have

Familiarity with dbt; Experience supporting Quick Commerce, Operations, Supply Chain, or Commercial teams (online or offline retail), or similar; Solid background in statistical analysis and data modeling; Interest in AI solutions and their applications in analytics

Benefits

A dynamic and challenging work environment; A company committed to developing you personally and professionally; A great working atmosphere with regular company and team events; A vibrant and international team committed to diversity and inclusion; Responsibility from day one in a fast growing and global company