Deadline Date: Monday 12 January 2026
Requirement: Business Data Analyst (Financial)
Location: Braine-l'Alleud, BE
Full Time On-Site: Yes
Time On-Site: 100%
Total Scope of the request (hours): 836
Required Start Date: 2 February 2026
End Contract Date: 31 December 2026
Required Security Clearance: NATO SECRET
Duties & Role:
Data management
- Developing and implementing plans, policies, and practices that control, protect and optimise the value of data assets.
- Devises and implements master data management processes for specific subsets of data.
- Assesses the integrity of data from multiple sources.
- Provides advice on the transformation of data from one format/medium to another.
- Maintains and implements information handling procedures.
- Enables the availability, integrity and searchability of information through the application of formal data and metadata structures and protection measures.
Programming/software development
- Designs, codes, verifies, tests, documents, amends and refactors moderately complex programs/scripts.
- Applies agreed standards and tools to achieve a well- engineered result.
- Monitors and reports on progress.
- Identifies issues related to software development activities.
- Proposes practical solutions to resolve issues.
- Collaborates in reviews of work with others as appropriate.
Data modelling and design
- Investigates enterprise data requirements where there is some complexity and ambiguity.
- Plans own data modelling and design activities, selecting appropriate techniques and the correct level of detail for meeting assigned objectives.
- Provides advice and guidance to others using the data structures and associated components.
Data engineering
- Designs, implements, and maintains complex data engineering solutions to acquire and prepare data.
- Creates and maintains data pipelines to connect data within and between data stores, applications and organisations.
Data science
- Investigates the described problem and dataset to assess the usefulness of data science and analytics solutions.
- Applies a range of data science techniques and uses specialized programming languages.
- Understands and applies rules and guidelines specific to the industry, and anticipates risks and other implications of modelling.
- Selects, acquires and integrates data for analysis.
- Develops data hypotheses and methods and evaluates analytics models.
- Advises on the effectiveness of specific techniques based on project findings and comprehensive research.
- Contributes to the development, evaluation, monitoring and deployment of data science solutions.
Business intelligence
- Supports business intelligence needs of specific management or governance processes or operational areas.
- Investigates the need for business intelligence reporting and analysis where there is some complexity and ambiguity.
- Selects and applies non-standard business intelligence tools and techniques to provide insights and aid decision-making.
- Selects, acquires and integrates data for analysis.
- Identifies opportunities to digitise and streamline operational data handling and optimise business intelligence capabilities.
Data visualisation
- Applies a variety of visualisation techniques and designs the content and appearance of data visuals.
- Operationalises and automates activities for efficient and timely production of data visuals.
- Selects appropriate visualisation approaches from a range of applicable options.
- Contributes to exploration and experimentation in data visualisation.
User experience evaluation
- Evaluates design options and prototypes to obtain user feedback on requirements of developing systems, products, services or devices.
- Tests the usability and accessibility of components and alternative designs.
- Administers a range of evaluations, recording data and feedback.
- Analyses evaluation data and recommends actions.
- Identifies areas for future user research.
- Checks systems, products, services or devices for adherence to applicable standards, guidelines, style guides, and legislation.
- Evaluates the usability of existing or competitor systems to provide benchmark values and as input to design.
Requirements
Skill, Knowledge & Experience:
- The candidate must have a currently active NATO SECRET security clearance
- A minimum requirement of a relevant degree at a nationally recognised/certified University in a related discipline and 2 years post-related experience. Or exceptionally, the lack of a university degree may be compensated by the demonstration of a candidate's particular abilities or experience that is/are of interest to NCI Agency, that is, at least 6 years extensive and progressive expertise in duties related to the function of the post.
- Demonstrable experience as a Data Analyst, Data Scientist, or similar role, or experience performing these functions roles as part of another job.
- Demonstrable experience with at least one programming language, such as Python, R, or C#.
- Experience with commercially available or open source data visualization tools, such as Power BI, Grafana or R Shiny.
- Experience with SQL and relational databases, such as SQL Server.
- Experience with user experience KPIs and reporting.
Desirable Experience and Education:
- Prior experience of working in an international environment comprising both military and civilian elements;
- Knowledge of NATO responsibilities and organization, including ACO and ACT.
Training & Certifications
- ITIL Foundation
- DevOps Foundation
- Certifications proving the competency level in programming/software development skills
