20 beste vacatures voor de functie van data integration analyst in brussels, bru (nieuwe medewerkers gezocht)

Data Analyst L5 to L10 - Deadline 03/09/26
AlmavivA de Belgique —Brussel
- Voltijds
- Databases
- SQL
- Bachelor
Snel solliciteren
2 dagen
Market Analyst
ENGIE —Brussel
- Microsoft Excel
- Doctoraat
- Engels
2 dagen
Application & Data Analyst
Mint Tandartsen —Overijse
- ERP systemen
- Engels
- Analytisch vermogen
- GSM-vergoeding
- Pensioensparen
Junior Data Engineer – Production & Supply Chain
La Lorraine Bakery Group —Ninove
- Azure
- ERP systemen
- Master
Integration Engineer
La Lorraine Bakery Group —Ninove
- Computerwetenschappen
- Azure
- Informatica
Digital Technology Lead - Regulatory Analytics
UCB —Anderlecht
- Engels
- Master
Frontend Software Engineer
AXA —Brussel
- Computerwetenschappen
- Azure
- Informatica
SAP Business Solutions Architect (Data & AI enabler)
Moore Belgium —Brussel
- Voltijds
- Hybride werken
- ERP systemen
- Engels
- Master
- Pensioensparen
Snel solliciteren
Senior Consultant - AI Projects
Sailpeak —Brussel
- Voltijds
- Hybride werken
- Agile
- Artificiële intelligentie
- Communicatieve vaardigheden
Snel solliciteren
Transversal Platform Capabilities Owner
Pluxee —Brussel
- Voltijds
- Productmanagement
Analytics Engineer
Datashift —Mechelen
- Engels
- Windows
- SQL
- Tankkaart
Tech Lead Telenet Shared Services
Telenet —Mechelen
- Voltijds
- Hybride werken
- Management
- Master
- AWS
Senior technical analyst - Financial Services
EY —Diegem
- Deeltijds
- Computerwetenschappen
- Azure
- Informatica
Solution Architect
UpWider —Brussel
- Computerwetenschappen
- Informatica
- Master
Security Engineer/Analyst - Brussels, Ham, Pelt or Ypres
Tessenderlo Group —Elsene
- Voltijds
- Computerwetenschappen
- Azure
- Informatica
Snel solliciteren
EU Consulting Expert
PwC —Brussel
- Voltijds
- Engels
- Master
22 uur
AI-Enabled Fullstack .NET Engineer
Sopra Steria —Brussel
- Voltijds
- Computerwetenschappen
- Azure
- Informatica
12 dagen
Application / Cloud Architect
COSMOTE GLOBAL SOLUTIONS NV —Brussel
- Hybride werken
- Java
- Bachelor
- ICT
Snel solliciteren
Senior Data Engineer - Financial Services
EY —Diegem
- Deeltijds
- Computerwetenschappen
- Azure
- Informatica
API / SOA Analyst (Freelance)
Smile Group —Sint-Pieters-Woluwe
- Hybride werken
- API's
- Agile
Snel solliciteren

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Data Analyst L5 to L10 - Deadline 03/09/26

AlmavivA de Belgique -
Brussel

Snel solliciteren

Vacaturegegevens

Voltijds
2 dagen geleden

Kwalificaties

Power BI
Kubernetes
Spark
NumPy
Databases
SQL
Pandas
Docker
Bachelor
Machine learning
ETL
JSON
Python

Volledige vacaturetekst

Data extraction, mapping and integration: Extract, map, transform and integrate data from a range of large and very large data sources available within TAXUD, including, among others, Surveillance, TARIC, EORI, EBTI and ICS2, as well as relevant European Commission and external sources such as COMEXT and COMTRADE. Make the resulting data available in the appropriate analytical environments for further analysis and modelling.
Data processing and preparation: Design and implement efficient data-processing solutions for large volumes of data, taking into account the technical constraints and specific characteristics of the available analytical architectures and environments, including DataLab, ICS2/SSA and Power BI SNC.
Analytical visualisation and reporting: Create analytical products, reports, dashboards and clear and informative visualizations to communicate complex data findings to stakeholders using the available platforms and technologies, including Power BI SNC, Dataiku and Python, with a focus on supporting the analytical needs of the relevant stakeholders.

Integration and deployment of analytical solutions: Provide technical support for the deployment, integration, orchestration and configuration of analytical models and solutions within SSA, PowerBI SNC or temporary local solutions. Support the integration of such solutions into the relevant analytical workflows and environments.

Data Analysis and Modelling: Conduct exploratory data analysis, build predictive models, and extract insights from large datasets; Develop and implement machine learning algorithms to optimize customs risk assessment; Design or participate in the design of data processing algorithms for specific use cases.
Technical/User documentation: Produce and maintain comprehensive technical documentation covering the procedures for accessing, querying, extracting, transforming and making data available for analytical purposes. Documentation shall be structured and sufficiently detailed to enable peer review, knowledge transfer, maintenance and reproducibility by other members of the team, thereby ensuring continuity of the services.
Analytics, architecture and governance optimisation: Identify and propose improvements to analytical solutions, data architectures, data governance arrangements and related business processes. Proposals shall take into account the need to support multidisciplinary collaboration between Member States' customs experts and the Commission, within the applicable legal, security and governance framework, and shall cover both permanent and ad-hoc analytical use cases.
Machine learning and analytical experimentation: Support experimentation and further development of analytical capabilities, within the SSA platform where relevant, including the investigation, testing and evaluation of new approaches, machine-learning and deep-learning techniques, data-science methodologies and relevant software libraries and technologies, in cooperation with Member States where appropriate.
Other activities: Other tasks assigned by the direct manager

KNOWLEDGE AND SKILLS:

Data integration and processing: At least 3 years of professional experience in extracting, transforming, integrating and preparing data from multiple sources, including large or complex datasets, and in making data available for analytical use.
Business Intelligence and visualisation: At least 3 years of professional experience in developing analytical reports, dashboards and data visualisations, in particular using Power BI or comparable Business Intelligence tools.
Python and SQL: Strong practical knowledge of Python and SQL, with professional experience using these technologies for data extraction, transformation, analysis and preparation. At least 2 years of professional experience with commonly used Python data-science libraries, such as Pandas and NumPy, is required.
ETL and data workflows: Practical experience in designing, developing and maintaining ETL and data-processing workflows, including data extraction, transformation, validation, quality checks and preparation for downstream analytical use.
Databases and data management: Good knowledge of databases, data modelling, data wrangling and data management, including relational databases, SQL and analytical/data-warehouse concepts.
Large-scale data processing: Practical understanding of the challenges associated with processing large volumes of data, including data volume, processing time, memory, storage and performance constraints. Experience with distributed or parallel processing technologies such as Spark is an asset.
Data formats: Good knowledge of commonly used data formats, including JSON and Parquet. Knowledge of DuckDB is an asset.
Analytical methods: Good knowledge of data analysis, statistics and relevant analytical methods, with the ability to select and apply appropriate techniques to practical business and operational questions.
Statistics and probability: Good knowledge of statistics and probability, including distributions, sampling techniques, hypothesis testing, statistical analysis and model evaluation metrics.
Machine learning: Practical experience with machine-learning techniques and with the main stages of an ML project, including data preparation, exploratory analysis, model development, evaluation and, where relevant, deployment. Experience with Scikit-learn is an asset.
Analytical environments and deployment: Good understanding of the technical considerations involved in making analytical solutions available in different environments. Knowledge of containerisation and orchestration technologies such as Docker and Kubernetes is an asset.
Data quality, governance and protection: Good understanding of data quality, data governance, data security and data-protection principles relevant to analytical data processing.
Problem-solving: Strong ability to investigate technical and analytical problems, identify their root causes and develop practical and maintainable solutions, including when working with large or complex datasets.
Documentation and communication: Ability to document data-processing procedures, analytical solutions and technical configurations clearly and to communicate effectively with both technical and non-technical stakeholders proven with at least 2 years of professional experience.
Collaborative working: Ability to work effectively in multidisciplinary teams and to interact with data analysts, technical specialists and subject-matter experts.

SPECIFIC EXPERTISE:

Analytical use cases: At least 2 years of professional experience translating Union customs or equivalent complex operational requirements into analytical use cases and communicating analytical results to subject-matter experts and other non-specialist stakeholders. Experience in Union customs risk analysis is an asset.
Innovation and experimentation: Experience evaluating and testing new data-science, machinelearning or analytical technologies and assessing their practical applicability.
Heterogeneous data sources: Demonstrated experience working with data originating from multiple heterogeneous sources and systems, including the integration and preparation of data for analytical use.
Technical troubleshooting and delivery: Demonstrated ability to investigate and resolve technical issues affecting data extraction, processing, integration and analytical solutions, and to work effectively across different technical environments.

Level : 5 to 10

Delivery mode: Near Site (Brussels)

Snel solliciteren

Verfijn je zoekopdracht

data integration analyst vacatures in brussels, bru

Data Analyst L5 to L10 - Deadline 03/09/26

Market Analyst

Application & Data Analyst

Junior Data Engineer – Production & Supply Chain

Integration Engineer

Digital Technology Lead - Regulatory Analytics

Frontend Software Engineer

SAP Business Solutions Architect (Data & AI enabler)

Senior Consultant - AI Projects

Transversal Platform Capabilities Owner

Analytics Engineer

Tech Lead Telenet Shared Services

Senior technical analyst - Financial Services

Solution Architect

Security Engineer/Analyst - Brussels, Ham, Pelt or Ypres

EU Consulting Expert

AI-Enabled Fullstack .NET Engineer

Application / Cloud Architect

Senior Data Engineer - Financial Services

API / SOA Analyst (Freelance)

Ik wil de nieuwste vacature-alerts ontvangen voor de functie van data integration analyst in brussels, bru

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