[4452] Business Data Analyst (Financial)

le contenu du travail

• 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
• 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
  

• 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 specialised 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