C004371 Business Data Analyst (Financial) (NS) - FRI 26 Sep

<p><strong>Deadline Date:</strong> Friday 26 September 2025</p><p><strong>Requirement:</strong> Business Data Analyst (Financial)</p><p><strong>Location:</strong> Braine-l'Alleud, BE</p><p><strong>Full Time On-Site:</strong> Yes</p><p><strong>Time On-Site:</strong> 100%</p><p><strong>Total Scope of the request (hours):</strong> 300</p><p><strong>Required Start Date:</strong> 3 November 2025</p><p><strong>End Contract Date: </strong>31 December 2025 </p><p><strong>Required Security Clearance:</strong> NATO SECRET</p><p> </p><p><strong>Duties &amp; Role:</strong></p><p><u>Data management </u></p><ul> <li>Developing and implementing plans, policies, and practices that control, protect and optimise the value of data assets.</li> <li>Devises and implements master data management processes for specific subsets of data.</li> <li>Assesses the integrity of data from multiple sources.</li> <li>Provides advice on the transformation of data from one format/medium to another.</li> <li>Maintains and implements information handling procedures.</li> <li>Enables the availability, integrity and searchability of information through the application of formal data and metadata structures and protection measures.</li> </ul><p><u>Programming/software development</u></p><ul> <li>Designs, codes, verifies, tests, documents, amends and refactors moderately complex programs/scripts.</li> <li>Applies agreed standards and tools to achieve a well- engineered result.</li> <li>Monitors and reports on progress.</li> <li>Identifies issues related to software development activities.</li> <li>Proposes practical solutions to resolve issues.</li> <li>Collaborates in reviews of work with others as appropriate.</li> </ul><p><u>Data modelling and design</u></p><ul> <li>Investigates enterprise data requirements where there is some complexity and ambiguity.</li> <li>Plans own data modelling and design activities, selecting appropriate techniques and the correct level of detail for meeting assigned objectives.</li> <li>Provides advice and guidance to others using the data structures and associated components.</li> </ul><p><u>Data engineering</u></p><ul> <li>Designs, implements, and maintains complex data engineering solutions to acquire and prepare data.</li> <li>Creates and maintains data pipelines to connect data within and between data stores, applications and organisations.</li> </ul><p><u>Data science</u></p><ul> <li>Investigates the described problem and dataset to assess the usefulness of data science and analytics solutions.</li> <li>Applies a range of data science techniques and uses specialized programming languages.</li> <li>Understands and applies rules and guidelines specific to the industry, and anticipates risks and other implications of modelling.</li> <li>Selects, acquires and integrates data for analysis.</li> <li>Develops data hypotheses and methods and evaluates analytics models.</li> <li>Advises on the effectiveness of specific techniques based on project findings and comprehensive research.</li> <li>Contributes to the development, evaluation, monitoring and deployment of data science solutions.</li> </ul><p><u>Business intelligence</u></p><ul> <li>Supports business intelligence needs of specific management or governance processes or operational areas.</li> <li>Investigates the need for business intelligence reporting and analysis where there is some complexity and ambiguity.</li> <li>Selects and applies non-standard business intelligence tools and techniques to provide insights and aid decision-making.</li> <li>Selects, acquires and integrates data for analysis.</li> <li>Identifies opportunities to digitise and streamline operational data handling and optimise business intelligence capabilities.</li> </ul><p><u>Data visualisation</u></p><ul> <li>Applies a variety of visualisation techniques and designs the content and appearance of data visuals.</li> <li>Operationalises and automates activities for efficient and timely production of data visuals.</li> <li>Selects appropriate visualisation approaches from a range of applicable options.</li> <li>Contributes to exploration and experimentation in data visualisation.</li> </ul><p><u>User experience evaluation</u></p><ul> <li>Evaluates design options and prototypes to obtain user feedback on requirements of developing systems, products, services or devices.</li> <li>Tests the usability and accessibility of components and alternative designs.</li> <li>Administers a range of evaluations, recording data and feedback.</li> <li>Analyses evaluation data and recommends actions.</li> <li>Identifies areas for future user research.</li> <li>Checks systems, products, services or devices for adherence to applicable standards, guidelines, style guides, and legislation.</li> <li>Evaluates the usability of existing or competitor systems to provide benchmark values and as input to design</li> </ul><p><strong>Requirements</strong></p><p><strong>Skill, Knowledge &amp; Experience:</strong></p><ul> <li>Th