3PL Management Specialist

HungerStation | هنقرستيشن

Riyadh

On-site

SAR 67,000 - 100,000

Full time

19 hours ago
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Job summary

HungerStation is seeking a data analyst to support 3PL performance, data automation, and stakeholder reporting within the Logistics team in Riyadh. You will build and validate data pipelines, automate reports, and provide insights to improve supply reliability and efficiency.

The role requires 2–4 years in data analysis or logistics, strong Excel/BigQuery skills, and fluency in Arabic and English. Collaboration with Finance, BI, and Ops is essential.

Qualifications

  • 2–4 years of experience in data analysis, logistics, supply chain, or vendor performance reporting.
  • Experience with data pipelines, report automation, and data visualization tools.
  • Strong analytical skills with the ability to manage and validate large datasets.
  • Excellent written and verbal communication in Arabic and English.

Responsibilities

  • Create and check weekly and monthly 3PL performance reports.
  • Support troubleshooting and resolution of data pipeline issues for accurate data flow.
  • Collaborate with cross-functional teams to track operational objectives and KRIs.

Skills

Data analysis
Data visualization
SQL basics
Cross-functional collaboration
Bilingual AR/EN

Tools

BigQuery
Spreadsheets
Excel

Job description

Hungerstation 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.

Job Description
Key Activities
3PL Performance & Reporting
  • Create and check weekly and monthly 3PL performance reports.
  • Track monthly data to spot trends and changes in 3PL performance.
  • Help build reports focused on key supply metrics and insights.
  • Constantly monitor and update 3PL data to ensure complete accuracy.
  • Record any performance drops and prepare basic summaries for management.
  • Keep standard reporting templates updated for tracking all 3PLs.
Data Automation & Pipeline Support
  • Support the troubleshooting and resolution of data pipeline issues to ensure continuous and accurate data flow.
  • Execute routine automation tasks focusing on report generation and operational data digitization.
  • Help maintain and optimize data tracking systems to improve overall pipeline efficiency for the Logistics team.
  • Assist in identifying gaps in current data architecture to propose actionable automation enhancements.
  • Validate automated data outputs regularly to ensure data integrity across operational dashboards.
  • Collaborate with data & BI teams to implement basic fixes for recurring data pipeline errors.
  • Able to automate files and create dashboards connected with BigQuery
Stakeholder Alignment & Supply monitoring
  • Coordinate with cross-functional teams (including Finance, BI, and Performance) to assist in tracking operational objectives and key results.
  • Support the execution of end‑of‑month NPS reports and prepare the subsequent feedback reports.
  • Participate in testing and aligning product requirements with internal stakeholders such as Legal, InfoSec, and Optimization teams.
  • Act as a supporting contact point for internal teams regarding required operational supply data.
  • Help facilitate alignment meetings with regional counterparts on shared operational goals.
  • Monitor the daily influx of rider supply data to promptly highlight any critical shortages or anomalies.
Qualifications
Knowledge and Experience
  • 2–4 years of experience in data analysis, logistics, supply chain, or vendor performance reporting.
  • Experience working with data pipelines, report automation, and data visualization tools.
  • Strong analytical skills with the ability to manage and validate large datasets.
  • Experience coordinating with cross-functional teams to align on project deliverables.
  • Proficiency in using spreadsheet software and basic database management tools.
  • Demonstrated ability to troubleshoot basic operational data anomalies and propose solutions.
  • Excellent written and verbal communication skills in Arabic and English.
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