Data Analytics Engineer (Saudi National)

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:

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  Collect, clean, and process data from multiple sources to ensure data accuracy and reliability.

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  Design and develop data pipelines and workflows to automate data ingestion and transformation.

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  Support the development of dashboards and reports using Power BI or similar visualization tools.

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  Collaborate with business teams to understand analytical requirements and translate them into data solutions.

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  Work closely with IT and BI teams to optimize data storage, models, and queries.

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  Assist in maintaining and improving data warehouses or data lakes.

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  Ensure compliance with data governance, security, and quality standards.

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  Troubleshoot data issues and support regular updates or refreshes of analytical datasets.

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  Document data processes, workflows, and technical specifications.

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  Stay current with emerging data engineering and analytics tools and best practices.

Requirements

Skills Required:

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  2–3 years of experience in data analytics or data engineering.

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  Proficiency in SQL and data querying.

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  Hands-on experience with Power BI, Excel, or similar BI tools.

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  Understanding of ETL concepts and data integration.

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  Familiarity with Python or R for data analysis is an advantage.

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  Knowledge of data modeling, data warehousing, and database concepts.

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  Strong analytical and problem-solving skills.

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  Excellent attention to detail and data accuracy.

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  Good communication and teamwork skills.

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