Job specializations:
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IT/Tech
Job Description & How to Apply Below
Help shape the future of assurance at a time of significant organisational transformation, regulatory change and increased public scrutiny. As part of the Internal Audit, Assurance and Controls team, you’ll help provide the credible, effective assurance the Board and Executive need. With recent investment in dedicated data analytics resources, you’ll join a team focused on embedding analytics to deliver richer insights and make assurance work more efficient and effective.
Working alongside the Data Analytics Manager, you’ll help put data and technology at the heart of a progressive, data-driven Assurance, Audit, and Controls function. You’ll explore structured and unstructured information using advanced analytical techniques, visual storytelling, automation and artificial intelligence. Partnering with assurance colleagues, you’ll help develop analytical tests, investigate exceptions and explain what the results do—and don’t—demonstrate. You’ll also help colleagues make effective use of data and approved technology through reusable tests, practical guidance and hands-on support.
What you will be doing as Data Analyst / IT Auditor (Internal Audit)
Supporting Internal Audit and Assurance team members
Work across the Internal Audit, Assurance and Control team in a collaborative way to transform risk-based assurance hypotheses into practical analytical tests
Lead specific data-focussed audit & assurance engagements
Plan and deliver assigned data-driven engagements in accordance with the Assurance, Audit and Controls methodology
Data access and understanding
Build effective working relationships with data owners, digital and system teams, and subject matter experts to obtain data through agreed governance routes
Understand how the data is created and used, handle it securely, and document its source, context and limitations.
Data Analytics and AI strategy delivery
Deliver agreed actions from the function's Data Analytics and AI strategy. Trialling and embedding new use cases, supporting their rollout across the teams in line with agreed guidance, and tracking actual adoption and benefits.
Build and maintain documented, version-controlled analytical tests, templates and prompts that colleagues can review and reuse, developing selected tests into recurring analytics where justified
Analytics standards and reusable assets
Applying the function’s approved Data Analytics and AI methodology, standards and controls consistently.
Building and maintaining a library of reusable analytical tests, templates and prompts, with sufficient documentation and version control to support review, repetition and reuse.
Where justified by business need, value and available data, developing selected tests into recurring or scheduled analytics that support continuous assurance, auditing or monitoring.
Location:
Hybrid, Clearwater Court, Reading
What you should bring to the role
Essential skills and experience
Experience using data to test a process or control, investigate exceptions, and distinguish a genuine issue from a data-quality problem or an item needing further validation, preferably obtained within a second or third line role.
Excellent communication skills and experience of explaining technical data principles and analytical results to non-technical stakeholders, in writing and in meetings.
Experience of documenting analysis so that the source data, transformations, analytical logic and results provide a clear evidence trail and can be independently reviewed and reproduced by another colleague.
Experience of helping colleagues use data and analytical tools appropriately and with greater confidence, through formal or informal coaching, practical guidance or knowledge sharing.
Experience of planning and prioritising analytical…
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