About the Opportunity :
We are hiring on behalf of our esteemed client Ministry of Economy & Planning (MEP), Kingdom of Saudi Arabia for a high-impact role within their Inflation & Supply-Demand Monitoring Unit. MEP is looking to onboard a professional with a background in setting up data pipelines, aggregating data sources and doing in-depth data analysis.
This is a contractual position for 1 year, with the potential for extension based on performance. This role offers exceptional visibility, contributing directly to high-priority national initiatives under Vision 2030, while collaborating with multiple government entities including MoCI, ZATCA, Customs, sector regulators, and senior government executives.
Location : Riyadh
Compensation : Best-in-class; commensurate with experience
Key Accountabilities & Activities :
- Collect real-time product-level data using digital channels (e.g., web scraping, APIs, surveys).
- Maintain a centralized database covering inflation indicators, trade volumes, and production data.
- Ensure consistency and comparability of data across sources, products, and regions.
- Integrate structured and unstructured datasets (e.g., POS, Customs, ZATCA, sector surveys, Comtrade, WTO, and other international datasets).
- Implement and maintain automated pipelines using AI or machine learning where possible.
- Support deep-dive economic analysts by preparing curated datasets.
- Collaborate with the reporting team to enable accurate and timely dashboards.
- Benchmark international data infrastructure and recommend improvements.
Knowledge, Skills and Experience :
- 3+ years in data engineering, analytics, or statistical data management
- Strong experience with SQL, Python, web scraping, and API integration
- Familiarity with visualization tools (e.g., Power BI, Tableau) is a plus
- Knowledge of KSA economic data sources (GASTAT, ZATCA, Customs) and international databases (e.g., UN Comtrade, WTO, World Bank, OECD)
Qualifications :
- Bachelors in Data Science, Computer Science, Statistics, or Economics