Data Analytics Engineer (Saudi National)

Open 31d

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.