Data Analyst

TechTalent Resourcing; Wallonië; Hybride; EUR 65 000 - 101 000; Plein temps

Avantages offerts par ce poste

Résumé du poste

TechTalent Resourcing is seeking a French-speaking Data Analyst for a long-term freelance mission in Namur, Belgium, starting in October 2026. The role is hybrid, demanding two days per week on site with flexibility to collaborate across SPW Digital projects.

You will manage the data lifecycle, ensure data quality, interoperability and governance, and work closely with data managers and stakeholders to enable secure data sharing and reuse within the Walloon public service.

Qualifications

• Experience in data analysis across the full data lifecycle.
• Ability to ensure data quality, interoperability, and governance.
• Strong communication with data managers and stakeholders.
• Fluency in French; ability to work in Namur.

Responsabilités

• Analyze datasets and assess maturity against standards and governance.
• Draft metadata sheets and support data publication.
• Coordinate with Data Manager and Data Committee.
• Develop data sharing workflows using DataLift, FME, or Denodo.

Connaissances

Data analysis

Data governance

Stakeholder communication

French language

Outils

DataLift

FME

Denodo

ArcGIS Pro

Description du poste

For one of our clients in Namur, Belgium TechTalent are looking for a French speaking Data Analyst to start in October 2026 on a long term freelance mission. The role is hybrid and requires 2 days per week on site.

Contract:

660-day contract

French language required.

Overview:

In a context of increasing data valorization within the Walloon Public Service (SPW), their structured, secure, and documented sharing is a major strategic challenge. DataLift (see Definitions), developed by the Directorate for Data Management and Enhancement (DGVD), is part of this dynamic by facilitating the dissemination of geographic and non-geographic data, while guaranteeing its quality, compliance, and long-term preservation.

The data analyst is involved in the entire data lifecycle, from needs analysis to dissemination, documentation, and monitoring. They also contribute upstream to the application development process by integrating data-centric principles from the initial design stages. In this capacity, they ensure data is structured, its quality and interoperability with other datasets, and facilitate its future reuse.

It is capable of analyzing datasets, assessing their maturity and ensuring their compliance with the standards, norms and governance rules defined within the SPW.

With a versatile profile, at the crossroads of technical, analytical and relational skills, the Data analyst thus contributes to strengthening the availability, reusability and value of data within and beyond the SPW.

Beyond technical skills, the Data analyst demonstrates a strong ability to understand business needs, ease in communicating with various stakeholders (data managers, technical teams, end users) and a developed sense of public service.

Definitions and reference elements

• Data Committee: Group of the Cross-cutting Data Department (SPW-Digital) meeting every two weeks to ensure the coordination and prioritization of work related to data sharing.
• DataLift: A tool developed by the DGVD enabling data sharing: reading source data, documentation, modeling, quality control and model transformation.
• Data Owner: The business authority responsible for a piece of data or a set of data. They define the management rules, access and dissemination conditions, as well as the quality, compliance, and security requirements. They bear responsibility for the data with regard to the regulatory and strategic frameworks of the SPW (Walloon Public Service).
• Data Manager: An administrative entity that, within the scope of its formal missions and responsibilities, is in charge of the operational management of data. It ensures the acquisition (production), quality, integrity, storage, updating, documentation, and dissemination of data. It is the primary contact for SPW Digital and works in conjunction with the Data Owner, whose interests and decisions regarding data management and utilization it represents. It typically delegates some of these tasks to SPW Digital.
• vPROD data: source version of the data held, produced and updated by the data manager.
• vDIFF data: the disseminated (shared) version of the data, accessible to the target audience. It is a transformed version of the vPROD, designed to make it usable by the target audience.
• Metawal: SPW metadata management tool.

Main objectives

• Guaranteeing legal and technical compliance: ensuring compliance with European requirements (INSPIRE, HVD, Open Data, etc.) and the standards of the SPW Digital infrastructure (Metawal standards, DataLift validation, etc.).
• To guarantee the quality, reliability and traceability of data, by putting in place control, validation and monitoring mechanisms over time.
• Industrialize and automate data sharing, by transforming production data (vPROD) into usable, consistent and automatically updated broadcast data (vDIFF) (via FME/Denodo).
• Improve data accessibility and sharing: make data easily findable and usable by target users through quality metadata and appropriate exposure methods (Geoportal, Metawal, Denodo API, ArcGIS Pro, etc.).
• Integrate data-centricity into the development of solutions, by contributing upstream to application projects in order to structure data at the source and facilitate its reuse and sharing.
• Empower and engage data producers: formalize governance by linking the data manager with a clear contract to guarantee data quality and updates.

Tasks and activities

Data Dispatching

A request for data sharing or application development may come from a user who needs data, from a manager who wants to share their data, or from a legal framework that mandates sharing. The Data Committee identifies new requests for data sharing, assesses their relevance, and sets priorities. It assigns datasets to data analysts and evaluates whether they are subject to a European requirement.

Contacting the data manager

The data analyst informs the data manager that their data has been processed for sharing on the shared environment. They present an overview of the process and specify the support arrangements.

Drafting the project plan

The project plan describes the characteristics of the data: target user categories, sharing objectives, vPROD data access point, content and structure update frequency, access and use conditions (Open Data or other license), stakeholders and targeted platforms (Geoportal, SPW Portal, ODWB, application, etc.).

Drafting the metadata sheet

Write the metadata sheet in collaboration with the Metawal team and the data manager.

vPROD Data Analysis

Analysis of the structure, content, and documentation associated with the vPROD data to assess its maturity and identify potential problems. If the data is too immature to be shared, the

Data Analyst:

• Contact the Data Analyst Coordinator and/or the Data Committee;
• Directs the manager to the production support teams.

Modeling of vDIFF data

Design and documentation of the data dissemination version (vDIFF) model: selection of tables and attribute fields, definition of names, aliases and descriptions of tables and attributes, establishment of value lists and constraints, conditions of access to the data, drafting of technical specifications.

Development of the FME workspace or the Denodo transformer enabling the automatic conversion of the source data structure (vPROD) to the broadcast model (vDIFF). This process is executed with each update of the data content.

Compliance control

Data compliance of vDIFF data with technical specifications is verified using DataLift. Detected errors are analyzed and discussed with the data manager for correction.

Creation of the web service project

Geographic data is presented and formatted within a web mapping service project in ArcGIS Pro. In this step, the data analyst ensures that the data manager's requirements are met while adhering to mapping best practices. Non-geographic data is exposed via a Denodo web service.

Validation

Validation of deliverables by the data manager and organization of a cross-validation with other Data analysts.

Drafting the contract with the data manager

Drafting and signing of the contract defining the manager's commitments (updates, annual verification of metadata, decommissioning notification, etc.). The document is largely generated automatically from the project plan.

Request for publication

Creation of the tickets necessary for the publication of the data and associated deliverables within the shared infrastructure of SPW Digital.

Reporting

Regular reporting to the Data Committee and the Data Analyst Coordinator: progress, prioritization and any potential issues.

Communication

Information from the DGVD Communication Coordinator when data is made available or updated.

Ensure updates

Ensures that the data and its metadata record are kept up to date, in particular by regularly checking the validity of the information (data content, metadata content, download links and web services) with the data manager.

Help and support

For any questions relating to data sharing, support for users, data managers and those responsible for tools in the shared environment.