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Data Analyst vacancy

Job in Riyadh, Riyadh Region, Saudi Arabia
Listing for: Jing Hau
Full Time position
Listed on 2026-08-15
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Data Mining, Data Engineering
Salary/Wage Range or Industry Benchmark: 900 SAR Daily SAR 900.00 DAY
Job Description & How to Apply Below

Data Analyst vacancy in Riyadh Saudi Arabia

Data Analyst vacancy in Riyadh Saudi Arabia

Job Summary

We are looking for a Data Analyst to join our team in Riyadh, Saudi Arabia. The successful candidate will be responsible for collecting and analyzing data that will be used to inform decisions and strategies. The ideal candidate should possess strong analytical skills and an aptitude for problem-solving. We are offering a competitive salary of 900, and we are open to considering foreign applicants.

Ideally, the successful candidate should have at least one year of experience in data analysis.

Responsibilities
  • Analyze large sets of data and present findings in a concise format
  • Develop visualizations to present data and insights
  • Identify patterns and trends within datasets
  • Work with stakeholders to define business requirements
  • Utilize statistical techniques to identify opportunities or areas for improvement
  • Design databases and develop algorithms to optimize data extraction
  • Monitor market trends and conduct benchmarking studies
  • Develop strategies based on the analysis of collected data
  • Stay up-to-date with new technologies related to data analysis
Requirements
  • Bachelor’s degree in Computer Science, Mathematics or related field
  • Proven experience as a Data Analyst or similar role (at least 1 year)
  • Knowledge of databases (SQL etc.)
  • Excellent analytical skills with an eye for detail
  • An ability to interpret complex datasets accurately
  • Strong problem‑solving skills with an aptitude for reasoning logically
  • Proficiency in MS Office, especially Excel
Additional Qualifications (preferred but not required)
  • Knowledge of statistical software such as SPSS, SAS or MATLAB
  • Understanding of machine learning algorithms
  • Experience developing dashboards using Tableau or similar tools
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