Data Analyst Engineer Saudi National

Position Overview

Core Responsibilities

• Collaborate with business stakeholders, data engineers, IT teams, and BI teams to define analytical requirements and ensure data availability.
• Perform exploratory analysis, apply statistical methods, and translate business questions into analytical frameworks.
• Gather, prepare, validate, and reconcile data from internal and external sources, pipelines, and data warehouses.
• Build and maintain interactive Power BI dashboards and reports for Finance, Procurement, Supply Chain, Sales, and other domains.
• Standardize visuals, KPIs, data definitions, and data models while applying governance and compliance requirements.
• Monitor data quality, resolve discrepancies, troubleshoot reporting issues, and support validation checks.
• Document analytical methods, data sources, report specifications, and reusable analytical assets.
• Support self-service BI, ad hoc analysis, strategic BI initiatives, and business user enablement.
• Use AI capabilities in Microsoft Fabric and Power BI to accelerate analysis and reporting, then validate outputs for accuracy and business relevance.

Education and Experience

• A bachelor's degree in Computer Science, Information Technology, Statistics, Mathematics, Data Science, or a related field is required.
• Typically 3 to 7 years of experience in data analysis or a related IT field is expected.
• At least 3 to 5 years of hands-on experience with data visualization tools, SQL querying, and business intelligence reporting is required.
• A relevant master's degree is advantageous but not mandatory.

Technical Qualifications

• Proficiency in SQL, relational databases, data preparation, and ETL concepts.
• Advanced Power BI proficiency, including dataflows, datasets, measures, and report development.
• Proficiency in DAX and Power Query (M) for report-level calculations.
• Experience with data modeling, business intelligence reporting, dashboards, and data visualization.
• Familiarity with Microsoft Fabric components such as Data Warehouse, Lakehouse, OneLake, and Data Pipelines is advantageous.
• Familiarity with Python or R, Tableau, and Looker is advantageous.
• Familiarity with AI-assisted analytics tools such as Power BI Copilot and natural language query features is expected as an added capability.

Company Offering

• The company states that it offers competitive salaries, comprehensive benefits, and opportunities for growth and development.