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In office (Phnom Penh)
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Intern
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Internship
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Delivery Hero is a leading global local delivery platform, headquartered in Berlin, that connects consumers with restaurants, grocery stores, and local retailers. Founded in 2011, the company operates across dozens of countries, providing on-demand food delivery and pioneering "quick commerce" services for household essentials. Through its extensive international network and advanced logistics technology, it facilitates millions of daily deliveries while aiming to provide a fast and seamless experience for customers worldwide.

foodpanda is part of the Delivery Hero Group, the world’s pioneering local delivery platform, our mission is to deliver an amazing experience-fast, easy, and to your door. We operate in around 65 countries worldwide. Headquartered in Berlin, Germany. Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017 and is part of the MDAX stock market index.

  • Business KPI Tracking: Monitor, track, and analyze key performance indicators (KPIs) across business functions to identify trends, operational performance, and growth opportunities.
  • Dashboard & Report Alignment: Design, build, and maintain automated Google Sheets dashboards with Regional Market Analyst Team and reports to support weekly, monthly, and quarterly business reviews.
  • Data Extraction & SQL Support: Write, optimize, and execute SQL queries to extract, transform, and clean raw data from databases to support ad-hoc analytics requests.
  • Cross-Functional Support: Partner with stakeholders across various departments to understand their needs and provide support as well as project management
  • Trend & Anomaly Analysis: Conduct root-cause analysis on business performance variances, highlighting key drivers, risks, and actionable insights for decision-makers.
  • Workflow Optimization: Identify opportunities to automate any manual work using Python or any other programming language
  • Currently pursuing or recent graduate in Data Science, Computer Science, or a related field.
  • Foundational understanding of database structures, data modeling, and data pipelines.
  • Working knowledge of SQL and Python is a plus
  • Problem-solving ability with interest in root-cause analysis, variance tracking, and turning raw data into business insights.
  • Clear verbal and written skills to explain data findings effectively.
  • Ability to work collaboratively in a team environment.
  • Self-motivated, proactive learner who thrives in dynamic environments and can manage project deadlines.
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