AI Analytics Internal Auditor

Reference: ITA006469-Caity-1

Are you passionate about combining data analytics, artificial intelligence, and risk management to drive smarter business decisions? This opportunity offers the chance to transform internal audit processes through advanced analytics, AI-driven insights, and innovative reporting solutions while working closely with business stakeholders across the organisation. Duties & Responsibilities A leading organisation is seeking an AI Analytics Internal Auditor to join its Internal Audit function. This role is ideal for a data-driven professional who enjoys leveraging AI, analytics, and business intelligence to enhance audit effectiveness, improve operational oversight, and identify opportunities for business improvement.
The successful candidate will play a key role in integrating data analytics and AI into audit methodologies, developing innovative solutions that improve risk identification, decision-making, and business performance. You will collaborate closely with auditors, business stakeholders, and technical teams to deliver meaningful insights and strengthen governance processes.
This position offers an exciting blend of analytics, AI, business intelligence, audit, and stakeholder engagement.
Key Responsibilities

• Design, build, and support AI-driven solutions that enhance audit effectiveness and business oversight.
• Execute data analytics reviews and stand-alone analytical projects.
• Identify risks, inefficiencies, and control gaps through advanced analytics.
• Develop and maintain dashboards, reports, and data models to support business decision-making.
• Integrate analytics and AI capabilities into audit engagements and methodologies.
• Analyse large datasets to identify trends, anomalies, and actionable insights.
• Support audit planning, execution, and reporting activities.
• Develop technical and business-focused reporting for stakeholders.
• Collaborate with audit teams to enhance audit quality through data-driven approaches.
• Mentor and support junior team members.
• Stay current with emerging technologies, analytics tools, and AI developments.

Job Experience and Skills Required

• Degree in Commerce, Computer Science, Mathematics, Economics, Informatics, Statistics, Actuarial Science, or a related field.
• Minimum 6 years of professional experience.
• At least 3 years of experience as a Data Analyst or Business Data Analyst.
• Experience building or supporting AI solutions.
• Experience delivering data analytics projects and reporting initiatives.
• Strong understanding of risk, controls, governance, and business processes.
• Exposure to audit, assurance, compliance, or risk environments will be advantageous.
• Experience within financial services, insurance, underwriting, or reinsurance environments will be beneficial.
• Data analytics and business intelligence.
• SQL and database querying.
• Power BI and DAX.
• Python and R.
• ETL and data preparation.
• Data warehousing concepts.
• Dashboard and report development.
• Data visualisation and business reporting.
• AI model development and implementation.
• Data modelling and analytical problem-solving.
• Strong analytical and critical-thinking abilities.
• Excellent problem-solving skills.
• Strong written and verbal communication skills.
• Ability to present complex findings to non-technical stakeholders.
• Excellent stakeholder management capabilities.
• Strong project management and organisational skills.
• Ability to work effectively in evolving and ambiguous environments.
• Strong attention to detail and commitment to quality.
• Client-focused and solution-oriented mindset.
• Ability to manage multiple priorities and deadlines.

Apply Now!
For more exciting IT vacancies, visit:
https://www.networkrecruitmentinternational.com/it-jobs
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• Software Developers (Back-End, Front-End, Full Stack)
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• BI & SQL Experts
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• Cybersecurity Specialists
• SEO / Digital Designers

If you have not received feedback within two weeks, please consider your application unsuccessful. Your profile will remain in our database for future opportunities.
For more information, contact:
Caitlin Ferley
Recruitment Consultant
LinkedIn: www.linkedin.com/in/caitlin-ferley-b94a80218