At a Glance
- Tasks: Enhance internal audit effectiveness using advanced analytics and machine learning.
- Company: Join a fast-growing company dedicated to helping customers enjoy their retirement.
- Benefits: Competitive salary, generous leave, private medical cover, and career progression opportunities.
- Other info: Dynamic environment with strong focus on personal and professional development.
- Why this job: Make a real impact by delivering data-driven insights and driving innovation.
- Qualifications: Degree in relevant field and experience in data analytics within audit or risk.
The predicted salary is between 60000 - 75000 € per year.
The Data Analytics Internal Audit Manager enhances internal audit effectiveness through advanced analytics, machine learning, and agentic AI. Partnering with the Group Internal Audit (GIA) team, the role delivers data-driven insights into risk and controls by extracting, transforming, and visualising data from multiple sources. The role holder produces clear, evidence-based analysis, supports the communication of audit findings to stakeholders, and develops dashboards and management information (MI) reports to enable informed decision-making. All work aligns with best practice, audit methodologies, and professional standards.
Key Accountabilities:
- Act as a subject matter expert in data analytics, including data modelling, SQL, Power BI, Purview, and related technologies; apply Python/R to automate analysis and enhance audit capability.
- Deliver data analytics support to Internal Audit, generating actionable insights on risk and controls from diverse data sources.
- Contribute to the delivery of GIA strategy through data-driven solutions and innovation.
- Drive continuous improvement by adopting new technologies and developing analytics capabilities.
- Design and deliver dashboards and management information (MI), introducing opportunities for automation and efficiency.
- Build and maintain strong relationships with stakeholders across the business.
- Ensure effective data governance and manage multiple analytics projects in a fast-paced environment.
- Align all activities with audit methodology, best practice, and professional standards.
Examples of Key Activities:
- Administer and maintain TM+ for Internal Audit, ensuring alignment with audit processes.
- Develop and maintain dashboards, visualisations, and MI to support audit outcomes and operational metrics.
- Collaborate with audit teams to understand requirements and deliver relevant data solutions.
- Source, transform, and analyse data from multiple systems; perform data profiling, quality assessments, and exploratory analysis.
- Identify trends, anomalies, and risk indicators through advanced analytics and SQL-based investigation.
- Promote and support the use of AI, including GenAI and LLMs, to enhance audit efficiency and insight generation.
- Identify and implement opportunities to improve or automate audit processes; document methodologies to ensure transparency.
- Engage with stakeholders, provide updates, support ad-hoc requests, and contribute to audit engagements and team activities.
What we’re looking for:
- Degree in Computer Science, Data Science, Information Technology, Finance, or a related field (or equivalent practical experience).
- Preferred certifications: CISA, CPA, CIA, Security+, CISSP, or CISM.
- Proven experience in data analytics within audit, risk, or consulting environments.
- Strong technical skills in SQL, Python and/or R, and data visualisation tools such as Power BI (or similar).
- Hands-on experience with data platforms (e.g. Azure Fabric, Power BI, SQL) and working with large, complex datasets.
- Experience developing dashboards and visualisations to communicate insights clearly and effectively.
- Understanding of data governance, data quality, and metadata management practices.
- Familiarity with ERP systems (Oracle preferred) and enterprise data environments.
- Knowledge of AI, machine learning, or automation use cases in analytics, audit, or risk contexts.
- Strong communication skills, with the ability to present data-driven insights to both technical and non-technical stakeholders.
What’s in it for you:
- A competitive salary, pension scheme and life assurance.
- 25 days annual leave plus an additional day on us for your birthday.
- Private medical cover and income protection, just in case.
- A generous and highly achievable bonus scheme.
- Opportunities to progress your career in-role and within the company.
- Free access to the Headspace app, 24/7 employee assistance helpline and trained physical and mental health first aiders.
- A variety of employee funded benefits available via our online benefits portal.
- Plus, several additional purchase options available for you and your loved ones.
Internal Audit Manager, Data Analytics employer: Just Group plc
Just is an exceptional employer, dedicated to helping people achieve a better later life through innovative products and services. With a strong focus on employee growth, we offer a competitive salary, generous benefits, and a supportive work culture that prioritises mental health and well-being. Join our diverse team of over 1,400 purpose-led colleagues and be part of our exciting journey to become the UK's most loved retirement expert.
StudySmarter Expert Advice🤫
We think this is how you could land Internal Audit Manager, Data Analytics
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working in internal audit or data analytics. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analytics projects, dashboards, and any cool insights you've generated. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to data analytics and internal audit. Be ready to discuss how you've used SQL, Python, or Power BI in real-world scenarios. Practice makes perfect!
✨Tip Number 4
Don't forget to apply through our website! It's the best way to ensure your application gets noticed. Plus, we love seeing candidates who are genuinely interested in joining our mission to help people achieve a better later life.
We think you need these skills to ace Internal Audit Manager, Data Analytics
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your technical skills in SQL, Python, and data visualisation tools like Power BI. We want to see how you can apply these skills to enhance audit effectiveness, so don’t hold back!
Tailor Your Application:Take a moment to customise your application for the Internal Audit Manager role. Use keywords from the job description to show us that you understand what we’re looking for and how you fit into our vision.
Be Clear and Concise:When writing your application, clarity is key! Present your experience and achievements in a straightforward manner, making it easy for us to see how you can contribute to our team.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity with StudySmarter!
How to prepare for a job interview at Just Group plc
✨Know Your Data Tools
Make sure you brush up on your technical skills, especially in SQL, Python, and Power BI. Be ready to discuss how you've used these tools in past projects, as well as any specific examples of data visualisation or analysis you've done.
✨Showcase Your Analytical Mindset
Prepare to talk about how you've identified trends or anomalies in data before. Think of a couple of scenarios where your analytical skills led to actionable insights, and be ready to explain your thought process clearly.
✨Understand the Audit Methodology
Familiarise yourself with best practices in audit methodologies. Be prepared to discuss how you align your work with these standards and how you ensure effective data governance in your projects.
✨Build Relationships
Since this role involves collaborating with various stakeholders, think about how you've built strong working relationships in the past. Be ready to share examples of how you’ve communicated complex data insights to both technical and non-technical audiences.
