Talabat 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.

• Manage shift-based data operations, ensuring the team hits hourly and daily targets for Purchase Order and STs processing with 100% accuracy.
• Execute a shift handover process, documenting pending tasks, system issues, and data anomalies for the other shift to ensure zero information loss.
• Supervise and guide the work of shift-level Data Coordinators, assigning specific tasks and providing immediate support for complex data entries.
• Perform data hygiene audits throughout the shift, correcting errors in real-time and ensuring the final shift output is reliable and formatted correctly.
•  Assist the Data Supervisor by creating reports and summaries that highlight delays, trends, or volume spikes for management review.
•  Monitor shift performance against KPIs, providing the team with regular updates and troubleshooting bottlenecks in the data entry process.
• Support the training of new coordinators on shift, ensuring they understand ERP/WMS navigation and the company’s data standards.
• Act as the technical point of contact during the shift for Logistics and Inbound teams to resolve discrepancies between physical stock and digital records.
•  Maintain shift logs and digital dashboards, ensuring that all information is updated and ready for the Supervisor’s high-level analysis.
•  Identify and report repetitive errors or system glitches to the Supervisor, suggesting practical improvements to the shift workflow to save time.
• Ensure all sensitive documentation and physical records processed during the shift are correctly digitized and filed according to policy.

• Advanced in Excel (Pivot Tables, formulas) and experience navigating ERP or Warehouse / 2–3 years of experience in Data Management or Logistic
• Proven ability to clean large datasets and translate them into clear, familiar to visual dashboardsor reports for management
• Good understanding of supply chain flows, including PO management, inventory tracking, and process automation.