[5660] Business Data Analyst (Financial)

Start date: February 2026
Clearance: NATO Secret or equivalent
Location: Braine-l'Alleud, Belgium
(100% on-site)

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