Data Analyst

Job description

We're looking for an experienced Data Analyst who relishes transforming data into meaningful insights presented in structured reports and dashboards and contributing to building a data-enabled organisation. To achieve this, the role will work with the friendly and collaborative team across GambleAware to put in place appropriate data flows for effective decision making within the organisation.

Externally, the role will support the creation and ongoing development of system-wide approaches to improve data and analytics on gambling harms. Being a new role, there is scope for the right candidate to help shape the nature of the unit and identify how it can best add value to the organisation.

This exciting new, fixed-term, role will support GambleAware to develop its data capabilities to not only support its own activities but that of external organisations that have a role in reducing gambling harm.


  • Understand the current data landscape of the organisation and system-wide
  • Explore and gather data from sources (internal and external) that can bring value to GambleAware, and ensure the upkeep of databases and data systems
  • Transform raw data into structured information, which can be used by to build insights to drive strategic decision-making
  • Design and build report deliverables, automation and dashboards using MS PowerBI
  • Coordinate with senior stakeholders to align business and informational priorities
  • Identify opportunities for process enhancements
  • Contribute significantly to the strategy of the future state of data and analytics at GambleAware.


  • A Bachelor’s degree in Computer Science, Information Management, or a comparable STEM qualification, or, experience in related field
  • Strong experience of data visualisation tools and techniques, including in dashboard and scorecard design and publishing in PowerBI (or similar)
  • Experience working with a range of data architecture/ data processing/management technologies and platforms, specifically MS Azure and Azure Data Factory

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