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C004371 business data analyst (financial) (ns) - fri 26 sep

Braine-l'Alleud
EMW
Data Scientist
Publiée le 3 novembre
Description de l'offre

Deadline Date:Friday 26 September 2025Requirement:Business Data Analyst (Financial)Location:Braine-l'Alleud, BEFull Time On-Site:YesTime On-Site:100%Total Scope of the request (hours):300Required Start Date:3 November 2025End Contract Date:31 December 2025Required Security Clearance:NATO SECRETDuties & Role:Data managementDeveloping and implementing plans, policies, and practices that control, protect and optimise the value of data assetsDevises and implements master data management processes for specific subsets of dataAssesses the integrity of data from multiple sourcesProvides advice on the transformation of data from one format/medium to anotherMaintains and implements information handling proceduresEnables the availability, integrity and searchability of information through the application of formal data and metadata structures and protection measuresProgramming/software developmentDesigns, codes, verifies, tests, documents, amends and refactors moderately complex programs/scriptsApplies agreed standards and tools to achieve a well- engineered resultMonitors and reports on progressIdentifies issues related to software development activitiesProposes practical solutions to resolve issuesCollaborates in reviews of work with others as appropriateData modelling and designInvestigates enterprise data requirements where there is some complexity and ambiguityPlans own data modelling and design activities, selecting appropriate techniques and the correct level of detail for meeting assigned objectivesProvides advice and guidance to others using the data structures and associated componentsData engineeringDesigns, implements, and maintains complex data engineering solutions to acquire and prepare dataCreates and maintains data pipelines to connect data within and between data stores, applications and organisationsData scienceInvestigates the described problem and dataset to assess the usefulness of data science and analytics solutionsApplies a range of data science techniques and uses specialized programming languagesUnderstands and applies rules and guidelines specific to the industry, and anticipates risks and other implications of modellingSelects, acquires and integrates data for analysisDevelops data hypotheses and methods and evaluates analytics modelsAdvises on the effectiveness of specific techniques based on project findings and comprehensive researchContributes to the development, evaluation, monitoring and deployment of data science solutionsBusiness intelligenceSupports business intelligence needs of specific management or governance processes or operational areasInvestigates the need for business intelligence reporting and analysis where there is some complexity and ambiguitySelects and applies non-standard business intelligence tools and techniques to provide insights and aid decision-makingSelects, acquires and integrates data for analysisIdentifies opportunities to digitise and streamline operational data handling and optimise business intelligence capabilitiesData visualisationApplies a variety of visualisation techniques and designs the content and appearance of data visualsOperationalises and automates activities for efficient and timely production of data visualsSelects appropriate visualisation approaches from a range of applicable optionsContributes to exploration and experimentation in data visualisationUser experience evaluationEvaluates design options and prototypes to obtain user feedback on requirements of developing systems, products, services or devicesTests the usability and accessibility of components and alternative designsAdministers a range of evaluations, recording data and feedbackAnalyses evaluation data and recommends actionsIdentifies areas for future user researchChecks systems, products, services or devices for adherence to applicable standards, guidelines, style guides, and legislationEvaluates the usability of existing or competitor systems to provide benchmark values and as input to designRequirementsSkill, Knowledge & Experience:The candidate must have a currently active NATO SECRET security clearanceA 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 postDemonstrable experience as a Data Analyst, Data Scientist, or similar role, or experience performing these functions roles as part of another jobDemonstrable 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 ShinyExperience with SQL and relational databases, such as SQL ServerExperience with user experience KPIs and reportingDesirable 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 ACTTraining & CertificationsITIL Foundation, DevOps Foundation and certifications proving the competency level in programming/software development skills

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Accueil > Emploi > Emploi Informatique > Emploi Data Scientist > Emploi Data Scientist à Braine-l'Alleud > C004371 Business Data Analyst (Financial) (NS) - FRI 26 Sep

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