Audit Data Analytics Manager in London

Audit Data Analytics Manager in London

London Full-Time 48000 - 72000 Β£ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead data analytics initiatives to enhance audit processes and drive innovation.
  • Company: Join a forward-thinking organisation focused on continuous improvement and technology.
  • Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
  • Why this job: Make a real impact by leveraging data analytics in auditing and reporting.
  • Qualifications: Experience in audit methodologies and proficiency in Power BI, Python, or SQL.
  • Other info: Collaborative environment with strong focus on skill development and stakeholder engagement.

The predicted salary is between 48000 - 72000 Β£ per year.

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 in London employer: Audit & Risk Recruitment

As an Audit Data Analytics Manager, you will thrive in a dynamic work environment that champions innovation and continuous improvement. Our company prioritises employee growth through structured training and development opportunities, fostering a collaborative culture where your expertise in data analytics will be valued and utilised to drive impactful audit solutions. Located in a vibrant area, we offer a supportive atmosphere that encourages creativity and teamwork, making us an exceptional employer for those seeking meaningful and rewarding careers.
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Contact Detail:

Audit & Risk Recruitment Recruiting Team

StudySmarter Expert Advice 🀫

We think this is how you could land Audit Data Analytics Manager in London

✨Tip Number 1

Network like a pro! Reach out to professionals in the audit and data analytics field on LinkedIn. Join relevant groups and participate in discussions to get your name out there and show off your expertise.

✨Tip Number 2

Prepare for interviews by brushing up on your technical skills. Make sure you can confidently discuss your experience with Power BI, Python, and SQL. We want you to shine when they ask about your hands-on data analytics expertise!

✨Tip Number 3

Showcase your projects! If you've worked on any data analytics initiatives or audits, create a portfolio or case studies to share during interviews. This will demonstrate your ability to deliver insights and solutions effectively.

✨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 proactive about their job search!

We think you need these skills to ace Audit Data Analytics Manager in London

Data Analytics
Continuous Auditing
Continuous Control Monitoring
AI Enabled Functionality
Visualisation Tools
Scripting
Training and Development
Audit Methodologies
Risk Management
Internal Control Frameworks
Power BI
Python
SQL
Automation

Some tips for your application 🫑

Tailor Your CV: Make sure your CV speaks directly to the job description. Highlight your experience with data analytics, audit methodologies, and any relevant tools like Power BI. We want to see how your skills align with what we're looking for!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data analytics and how you can contribute to our GIA objectives. Keep it engaging and personal – we love to see your personality come through!

Showcase Your Technical Skills: Don’t forget to mention your programming skills! If you've got experience with Python, SQL, or AI models, make sure these are front and centre in your application. We’re keen on candidates who can bring technical expertise to the table.

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining the StudySmarter team!

How to prepare for a job interview at Audit & Risk Recruitment

✨Know Your Data Analytics Inside Out

Make sure you brush up on your knowledge of audit data analytics and the specific tools mentioned in the job description, like Power BI. Be ready to discuss how you've used these tools in past roles to deliver insights and solutions.

✨Showcase Your Programming Skills

Since programming and automation are key for this role, prepare to talk about your experience with Python, SQL, or any AI models you've worked with. Consider bringing examples of scripts or projects you've completed that demonstrate your proficiency.

✨Understand the Audit Methodology

Familiarise yourself with audit methodologies and internal control frameworks. Be prepared to explain how you would embed data analytics techniques into these methodologies to ensure quality outcomes during audits.

✨Build Relationships with Stakeholders

Think about how you can effectively communicate and build relationships with key stakeholders in IT and data teams. Prepare examples of how you've collaborated with others in the past to share knowledge and drive innovation.

Audit Data Analytics Manager in London
Audit & Risk Recruitment
Location: London

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