Data Analytics Engineer (Saudi National)

Raqmiyat; Riyadh; On-site; SAR 120,000 - 180,000; Full time

Job summary

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.
• Bachelor’s degree in Computer Science, Data Analytics, Information Systems, or a related field

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

Teamwork

Education

Bachelor’s degree in Computer Science, Data Analytics, Information Systems, or a related field

Tools

Power BI

Excel

Job description

Riyadh, Saudi Arabia | Posted on 10/16/2025

Raqmiyat is a UAE-based IT and digital transformation company specializing in consulting, staffing, and enterprise technology solutions. We empower banking, government, and enterprise clients across the Middle East to achieve their digital objectives.

Job Description

Job Summary: We are seeking a motivated Saudi National Data Analytics Engineer with 2–3 years of experience in data analysis, transformation, and reporting. The ideal candidate will play a key role in collecting, cleaning, and preparing data for business insights, supporting analytics and reporting needs across the organization. This role is ideal for candidates who have a passion for data, strong technical skills, and a desire to grow in analytics and data engineering.

Key Responsibilities:

• Collect, clean, and process data from multiple sources to ensure data accuracy and reliability.
• Design and develop data pipelines and workflows to automate data ingestion and transformation.
• Support the development of dashboards and reports using Power BI or similar visualization tools.
• Collaborate with business teams to understand analytical requirements and translate them into data solutions.
• Work closely with IT and BI teams to optimize data storage, models, and queries.
• Assist in maintaining and improving data warehouses or data lakes.
• Ensure compliance with data governance, security, and quality standards.
• Troubleshoot data issues and support regular updates or refreshes of analytical datasets.
• Document data processes, workflows, and technical specifications.
• Stay current with emerging data engineering and analytics tools and best practices.

Requirements

Skills Required:

• 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.
• Bachelor’s degree in Computer Science, Data Analytics, Information Systems, or a related field.