Job Description

Would you like to join the leading international intergovernmental organization?

This is not a traditional backend engineering role focused solely on APIs and server-side logic. Instead, you will operate at the intersection of data engineering, data science, business intelligence, and software development—building and maintaining the full data lifecycle, from acquisition to visualization.

Responsibilities:

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.

Essential Qualifications & Experience:

• 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.

If you've read the description and feel this role is a great match, we'd love to hear from you! Click "Apply for this job" to be directed to a brief questionnaire. It should only take a few moments to complete, and we'll be in touch promptly if your experience aligns with our needs.