Internal Audit Manager, Data Analytics

Overview

In this role you will enhance internal audit effectiveness through advanced analytics, ML, and agentic AI. You’ll partner with the GIA team to deliver data-driven risk and control insights from diverse data sources, building dashboards and MI to support decision-making. You will drive innovation in analytics, data governance, and automation while aligning with audit standards. This is a chance to shape how analytics informs risk management in a fast-growing retirement-focused company.

Pay / Benefits

• competitive salary
• pension scheme
• life assurance
• 25 days annual leave
• private medical cover
• income protection

Responsibilities

• Act as data analytics SME using SQL, Power BI, Purview; apply Python/R to automate analysis
• Deliver analytics support to Internal Audit to generate insights on risk and controls
• Contribute to GIA strategy through data-driven solutions and innovation
• Drive continuous improvement by adopting new technologies and expanding analytics capabilities
• Design and deliver dashboards/MI with opportunities for automation and efficiency
• Build and maintain stakeholder relationships across the business
• Ensure data governance and manage multiple analytics projects in a fast-paced environment
• Align all activities with audit methodology, best practice, and professional standards

Key requirements

• Degree in a related field (or equivalent practical experience)
• Proven experience in data analytics within audit, risk, or consulting environments
• Strong SQL, Python and/or R, and data visualization skills (Power BI or similar)
• Hands-on experience with data platforms (Azure, SQL) and large datasets
• Experience developing dashboards and visualisations to communicate insights
• Understanding of data governance, data quality, and metadata management
• Familiarity with ERP systems (Oracle preferred) and enterprise data environments
• Knowledge of AI, ML, or automation use cases in analytics, audit, or risk contexts
• Strong communication skills for technical and non-technical stakeholders

• Strong communication
• Stakeholder management
• Collaborative mindset
• SQL
• Python and/or R
• Power BI (or similar)

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