Data Analyst (Quick Commerce & Partnerships)

Role Overview

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.

What You Will Do

You’ll utilize analytical methodologies to measure incremental impact and make actionable recommendations on quick commerce investments, build and refine measurement frameworks, and support the development of SQL models to implement frameworks and transform massive datasets into actionable insights.

Why It Might Be a Fit

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.

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 and experience with at least one data visualization tool (e.g., Looker, Tableau).
• Familiarity with dbt is a plus.
• 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.
• Solid background in statistical analysis and data modeling is an advantage.
• Interest in AI solutions and their applications in analytics is an advantage.

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.

Tagged as: Data Analysis