At a Glance
- Tasks: Lead data analytics initiatives to enhance audit efficiency and effectiveness.
- Company: Join an award-winning Financial Services business with a dynamic team.
- Benefits: Competitive salary, professional development, and opportunities for innovation.
- Why this job: Make a real impact by transforming audit services with cutting-edge technology.
- Qualifications: Experience in audit methodologies and proficiency in data analytics tools like Power BI.
- Other info: Collaborative environment with strong focus on continuous improvement and career growth.
The predicted salary is between 36000 - 60000 Β£ per year.
We are working with an award-winning Financial Services business to help them find a talented and ambitious Audit Data Analytics Manager. The role sits within the Group Internal Audit team and they are looking for someone who thrives in a dynamic atmosphere and wants to make a real difference to help shape the deliverables of the whole team. Your data analytics and audit expertise will be used to develop solutions to enable more effective and efficient audits, embed data analytics skills and techniques across the Internal Audit team; and identify emerging technologies and approaches to transform the audit services, while ensuring the processes and controls meet professional and regulatory standards.
Responsibilities
- Deliver the GIA strategic objectives specifically on the use of data analytics, continuous auditing, continuous control monitoring and AI enabled functionality, driving continuous innovation and improvement.
- Own, develop and implement programme deliverables, maintaining a backlog of GIA initiatives which are reviewed, updated and prioritised on a quarterly basis in agreement with the Chief Internal Auditor.
- Deliver hands on data analytics expertise and solutions to GIA to enable more efficient and effective audits and reporting, through the use and championing of visualisation tools and scripting.
- Build data analytics capabilities across GIA through structured training and continuous skills development.
- Embed data analytics techniques into the audit methodology to ensure consistent application and quality outcomes, specifically full population testing.
- Build and maintain effective relationships with key stakeholders in IT, technology enablement and data teams to facilitate sharing of knowledge, skills, tools, environments and data.
Experience Required:
- Strong understanding of audit methodologies, risk management and internal control frameworks.
- Relevant recent experience with audit data analytics, delivering insights, and solutions in a business environment.
- Expertise in Power BI or similar visualisation tools.
- Proficiency in programming/automation experience such as Python, SQL, and/or AI large language models.
Audit Data Analytics Manager employer: Audit & Risk Recruitment
Contact Detail:
Audit & Risk Recruitment Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Audit Data Analytics Manager
β¨Tip Number 1
Network like a pro! Reach out to professionals in the audit and data analytics space on LinkedIn. Join relevant groups and participate in discussions to get your name out there and show off your expertise.
β¨Tip Number 2
Prepare for interviews by brushing up on your technical skills. Be ready to discuss your experience with Power BI, Python, and SQL. We want you to showcase how you've used these tools to drive innovation in past roles.
β¨Tip Number 3
Donβt just apply; engage! When you submit your application through our website, follow up with a friendly email expressing your enthusiasm for the role. It shows initiative and can help you stand out from the crowd.
β¨Tip Number 4
Stay updated on industry trends and emerging technologies. Being knowledgeable about the latest in audit data analytics will not only impress interviewers but also help you contribute meaningfully to the team if you land the job.
We think you need these skills to ace Audit Data Analytics Manager
Some tips for your application π«‘
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Audit Data Analytics Manager role. Highlight your data analytics expertise, especially with tools like Power BI, and any relevant audit methodologies you've worked with.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your background in audit and data analytics can help us drive innovation within the Group Internal Audit team.
Showcase Your Technical Skills: Donβt forget to mention your programming skills, especially in Python and SQL. We want to see how youβve used these skills to deliver insights and solutions in previous roles, so give us some concrete examples!
Apply Through Our Website: We encourage you to apply directly through our website. Itβs the best way for us to receive your application and ensures youβre considered for this exciting opportunity to make a real difference in our team!
How to prepare for a job interview at Audit & Risk Recruitment
β¨Know Your Data Analytics Inside Out
Make sure you brush up on your data analytics skills, especially with tools like Power BI and programming languages such as Python and SQL. Be ready to discuss specific projects where you've used these skills to deliver insights or improve audit processes.
β¨Understand the Audit Methodology
Familiarise yourself with audit methodologies and internal control frameworks. Be prepared to explain how your experience aligns with these frameworks and how you can contribute to the teamβs strategic objectives using data analytics.
β¨Showcase Your Problem-Solving Skills
Think of examples where you've identified issues and implemented solutions using data analytics. Highlight your ability to drive continuous innovation and improvement, as this is key for the role.
β¨Build Relationships with Stakeholders
Demonstrate your ability to collaborate with IT and data teams. Prepare to discuss how you've built effective relationships in the past and how you plan to facilitate knowledge sharing within the team.