DATA ANALYST

We are looking for a Data Analyst to join our international team and contribute to collect and clean data from various sources., * Analyse datasets to identify trends and patterns.

• Create interactive dashboards and reports that utilize data storytelling to effectively present findings, with defined refresh cadences and Service Level Agreements (SLAs) for key deliverables.
• Collaborate with stakeholders to understand data needs.
• Develop and maintain data dashboards and reporting tools that provide intuitive access to key metrics and insights, supported by clear documentation and update schedules.
• Perform statistical analysis to support decision-making.
• Ensure data accuracy and consistency through the implementation of data quality checks, validation rules, and regular reconciliation processes with source systems.
• Conduct exploratory data analysis to uncover insights.
• Document methodologies and analysis processes.
• Recommend improvements based on data insights.
• Partner with Data Engineers on data modelling (e.g., star/snowflake schemas) and contribute to a centralized definitions and metrics catalogue.
• Present data-driven insights and create actionable, decision-oriented recommendations tailored for non-technical audiences and stakeholders.
• Write complex Structured Query Language (SQL) queries for data extraction and transformation, and optimize them for performance and efficiency., * Microsoft Azure Data Engineer Associate
• Fabric Analytics Engineer Associate
• Fabric Data Engineer Associate.

What We Offer:

• Prestigious projects within European institutions.
• International, innovative, and multicultural environments.
• Continuous support from a team of experts in EU projects.

If you are ambitious, enthusiastic, and seeking a new professional challenge in international projects with real-world impact, this is the place for you!

• Knowledge of data analysis and manipulation using SQL, Python, or R to extract, transform, and analyse structured and unstructured datasets.
• Experience with data visualization and reporting tools (e.g., Power BI, Qlik, Microsoft Fabric) to design interactive dashboards and reports.
• Knowledge of statistical analysis methods and tools (e.g., SPSS, R, Python libraries) to support evidence-based insights.
• Familiarity with spreadsheet tools, especially Microsoft Excel.
• Knowledge of data warehousing concepts and platforms (e.g., star/snowflake schemas, Microsoft Fabric, Snowflake, BigQuery) to support scalable reporting
• Knowledge of data preparation and transformation tools (e.g., Alteryx, Power Query, dbt) to ensure clean and reliable dataset
• Ability to work with large datasets and databases.
• Awareness of basic machine learning algorithms (e.g., regression, clustering, classification) to support advanced analytics in collaboration with data scientists.
• Knowledge of ETL processes and orchestration tools (e.g., SSIS, Informatica, Talend, Azure Data Factory) to support data pipelines
• Knowledge of cloud-based data services (e.g., Microsoft Fabric, Azure Synapse) to enable scalable and modern analytics.
• Knowledge of data quality practices (e.g., validation rules, reconciliation, lineage tracking) to ensure accuracy and consistency of insights.
• Knowledge of metadata and cataloguing tools (e.g., Azure Purview, Collibra) to support data governance and discoverability.

One of the following or an equivalent certification

Ayesa Digital Brussels Region, Belgium

At Ayesa Digital, we grow with you.

Every professional in our company is essential. Thanks to their talent, we continue to expand: today, we are a global team of more than 11,000 people working toward a shared mission.

Ayesa Digital is currently participating in high-impact European Union projects designed to address major European challenges and drive science and innovation. These strategic technological initiatives stand out for their international scope and strong commitment to socially oriented results.