C003733 Business Data Analyst (Financial) (NS) - MON 23 Sep

仕事内容

• 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 visualization - 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
  

• 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
• Training & Certifications: ITIL Foundation, DevOps Foundation and certifications proving the competency level in programming/software development skills
  
  

• Prior experience of working in an international environment comprising both military and civilian elements;
• Knowledge of NATO responsibilities and organization, including ACO and ACT