DATA ANALYST

Ayesa Digital; Brussel Hoofdstad; Sur place; EUR 40 000 - 65 000; Plein temps

Résumé du poste

Ayesa Digital is seeking a Data Analyst to join our international team and contribute to collecting and cleansing data from diverse sources. You will analyse datasets, build interactive dashboards, and collaborate with stakeholders to tailor insights for non-technical audiences.

You will develop data pipelines, apply statistical methods, and work with Data Engineers on modelling. Strong SQL/Python/R, Excel, and BI tooling are essential assets.

Qualifications

• Proficiency in SQL/Python/R for data extraction and analysis.
• Experience designing interactive dashboards and reports using BI tools.
• Knowledge of data warehousing concepts (star/snowflake) and cloud data services.
• Familiarity with ETL and data pipelines.
• Excel proficiency.

Responsabilités

• Analyse datasets to identify trends and patterns.
• Create dashboards and reports with data storytelling and defined SLAs.
• Collaborate with stakeholders to understand data needs.
• Develop and maintain data dashboards with documentation and update schedules.
• Perform statistical analysis to support decision-making.
• Ensure data accuracy via quality checks and reconciliation 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 and centralized metrics catalogue.
• Present insights and actionable recommendations to non-technical audiences.
• Write complex SQL queries for data extraction and transformation and optimize for performance.

Connaissances

SQL

Python

R

Data analysis

Data visualization

Formation

Microsoft Power BI Data Analyst Associate

Microsoft Azure Data Engineer Associate

Fabric Analytics Engineer Associate

Fabric Data Engineer Associate

Outils

Power BI

Qlik

Microsoft Fabric

Azure Data Factory

dbt

Alteryx

Description du poste

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.

We are looking for a Data Analyst to join our international team and contribute to collect and clean data from various sources.

Key Responsibilities

• 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.

What We Are Looking For (Requirements):

• 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:

• Microsoft Power BI Data Analyst Associate.
• 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!

In accordance with Organic Law 3/2007 of March 22, the company is committed to promoting the defense and effective application of the principle of equality between men and women, preventing any type of labor discrimination based on sex, and guaranteeing equal entry opportunities. Furthermore, we promote diversity and reject any discrimination based on race, gender, functional diversity, religion, sexual orientation, gender identity, or any other personal or social condition, striving to build an inclusive and enriching environment.