Data Analyst

Major Function

The Data Analyst within the GAD Data Factory designs, models, and delivers data analyses that meet business needs (Finance, HR, Project Portfolio, etc.).

They help transform raw data into reliable, actionable information, delivered through reports, dashboards, or analytical models.

Collaborate with business stakeholders to refine analytica requirements, data rules, and expected KPIs.

Ensure alignment with business reference models (e.g., Management Core Model).

Identify relevant data sources, assess data quality rules, and evaluate availability.

Contribute to data ingestion and cleaning within the platform (quality checks, standardization).

Participate in transforming and modeling data in the Data Lake / Data Warehouse to build models aligned with use cases.

Work closely with Data Engineers when needed (ETL/ELT, pipelines).

Design and maintain Power BI dashboards, ad hoc analyses, and reports (OTBI / BI Publisher / Power BI depending on scope).

Implement business rules, calculations, and segmentation required for analytics.

Perform functional testing, consistency checks, and documentation of models and reports.

Contribute to data governance (quality, traceability, standardization).

Provide support to business teams on the use of dashboards and analyses.

Identify improvement opportunities for existing models and monitor data product adoption.

Technical

• Strong command of data visualization tools (primarily Power BI).
• Very good SQL proficiency.
• Understanding of data architectures (data lake, data warehouse, data products).
• Ability to manipulate and transform complex datasets.

Business & Analytical

• Ability to understand business processes (Group Finance, HR, operations, etc.).
• Strong analytical rigor and commitment to deliver high‑quality data.

Collaboration

• Comfortable interacting with diverse business stakeholders.
• Ability to work closely with Data Engineers, Business Analysts, and Product Owners.

DESIRED PROFILE

• Master’s degree (or equivalent) in data, engineering, statistics, economics, or similar field.
• Proven experience in a data analysis role within a structured environment.
• Strong Power BI expertise required; experience with Oracle ERP / OTBI is a plus.