An IT consulting firm in Riyadh is seeking a motivated Saudi National Data Analytics Engineer. The ideal candidate will have 2-3 years of experience in data analysis and will be responsible for collecting, cleaning, and preparing data for business insights. Proficiency in SQL and experience with Power BI are essential. This role offers the opportunity to work closely with IT and business teams to optimize data processes and ensure data accuracy and reliability.
Qualifications
2–3 years of experience in data analytics or data engineering.
Proficiency in SQL and data querying.
Hands-on experience with Power BI, Excel, or similar BI tools.
Understanding of ETL concepts and data integration.
Familiarity with Python or R for data analysis is an advantage.
Knowledge of data modeling, data warehousing, and database concepts.
Strong analytical and problem-solving skills.
Excellent attention to detail and data accuracy.
Good communication and teamwork skills.
Responsibilities
Collect, clean, and process data from multiple sources.
Design and develop data pipelines and workflows.
Support development of dashboards and reports using Power BI.
Collaborate with business teams for data solutions.
Optimize data storage, models, and queries.
Assist in maintaining and improving data warehouses or data lakes.
Ensure compliance with data governance and security standards.
Troubleshoot data issues.
Document data processes and workflows.
Stay current with emerging data engineering and analytics tools.
Skills
Data analytics
SQL
Power BI
Excel
ETL concepts
Python
R
Data modeling
Data warehousing
Education
Bachelor’s degree in Computer Science, Data Analytics, Information Systems, or a related field
Tools
Power BI
Excel
Job description
An IT consulting firm in Riyadh is seeking a motivated Saudi National Data Analytics Engineer. The ideal candidate will have 2-3 years of experience in data analysis and will be responsible for collecting, cleaning, and preparing data for business insights. Proficiency in SQL and experience with Power BI are essential. This role offers the opportunity to work closely with IT and business teams to optimize data processes and ensure data accuracy and reliability.