Deadline Date:
Friday 26 September 2025
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):
300
Required Start Date:
3 November 2025
End Contract Date:
31 December 2025
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 and certifications proving the competency level in programming/software development skills
Solliciteren