Data Expert

Job Title: Data Expert

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