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- Tasks: Join a dynamic team delivering advanced analytics for audits in a leading banking company.
- Company: Apollo Solutions is a globally recognised firm specialising in IT Audit & Risk Professionals.
- Benefits: Enjoy a competitive salary, attractive benefits, and excellent career progression opportunities.
- Why this job: Be part of innovative projects that enhance analytics capabilities and make a real impact.
- Qualifications: 4-5 years in data analytics, ideally in a 'Big 4' or financial services environment.
- Other info: Hands-on role requiring skills in SQL, Python, and PowerBI; coaching others is a plus.
The predicted salary is between 48000 - 52000 £ per year.
This range is provided by Apollo Solutions. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
Direct message the job poster from Apollo Solutions
Senior Consultant | Recruiting (IT) Audit & Risk Professionals into Financial Services globally | Apollo Solutions
This is a great opportunity for a Data Scientist / Data Analyst to join the Audit division of a globally recognised Banking Company based in London.
You will be a part of the team responsible for:
- Supporting business audit teams by delivering advanced analytics on audits independently and to a high quality.
- Lead elements of complex data analytics engagements with minimal support, and undertake the lead role and management of the allocated team.
- Support innovation by identifying opportunities to develop reusable tools and introduce new analytics techniques to improve the organisations capabilities.
- Implementing user interfaces and visualisation to support strategic and continuous development
- Work collaboratively across the audit function to develop an understanding of business priorities and risk appetite relevant to assigned audits and engagements.
Ideally, you will have the following attributes:
- Typically, 4-5 years experience within data analytics, ideally within a \’Big 4\’ environment or within the Financial Services Industry.
- Experience of using data analytics to support audits, or experience of using data analytics in the business with a strong understanding of audit or risk.
- This is a very technical hands on role, ideally you will have experince within SQL, Python and PowerBI (or Tableau) including the ability to coach others on these tools.
- Ability and track record of presenting on technical topics and complex analysis to a non-technical audience
What the position can offer you:
- The base salary on offer ranges between £60,000 – £65,000 depending on experience
- Attractive benefits package.
- You will receive great career progression and training opportunities.
Apply now!!
Seniority level
-
Seniority level
Associate
Employment type
-
Employment type
Full-time
Job function
-
Job function
Accounting/Auditing and Information Technology
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Industries
Banking, Insurance, and Financial Services
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Data Analytics Auditor employer: Apollo Solutions
Contact Detail:
Apollo Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analytics Auditor
✨Tip Number 1
Familiarise yourself with the latest trends in data analytics, especially within the financial services sector. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the audit and data analytics fields. Attend industry events or webinars to connect with people who can provide insights into the company culture and expectations at Apollo Solutions.
✨Tip Number 3
Brush up on your SQL, Python, and PowerBI skills. Consider working on personal projects or contributing to open-source projects that showcase your ability to use these tools effectively, as practical experience can set you apart.
✨Tip Number 4
Prepare to discuss your past experiences in data analytics and how they relate to auditing. Be ready to share specific examples of how you've used analytics to drive business decisions or improve processes, as this will demonstrate your value to the team.
We think you need these skills to ace Data Analytics Auditor
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data analytics, particularly within audit or risk environments. Emphasise your technical skills in SQL, Python, and PowerBI (or Tableau) as these are crucial for the role.
Craft a Compelling Cover Letter: In your cover letter, explain why you are interested in the Data Analytics Auditor position specifically at Apollo Solutions. Mention how your background aligns with their needs, especially your experience in delivering advanced analytics and supporting audit teams.
Showcase Your Technical Skills: Provide specific examples of projects where you used data analytics tools to support audits. Highlight any instances where you presented complex analyses to non-technical audiences, as this is a key requirement for the role.
Proofread Your Application: Before submitting, carefully proofread your application materials. Look for any spelling or grammatical errors, and ensure that all information is clear and concise. A polished application reflects your attention to detail, which is vital in auditing.
How to prepare for a job interview at Apollo Solutions
✨Showcase Your Technical Skills
Make sure to highlight your experience with SQL, Python, and PowerBI (or Tableau) during the interview. Be prepared to discuss specific projects where you used these tools, as this role is very technical and hands-on.
✨Demonstrate Your Analytical Thinking
Prepare examples of how you've used data analytics to support audits or improve business processes. This will show your understanding of the audit function and your ability to apply analytics in a practical context.
✨Communicate Effectively
Since you'll need to present complex analyses to non-technical audiences, practice explaining your work in simple terms. This skill is crucial for collaborating across teams and ensuring everyone understands your insights.
✨Be Ready to Discuss Innovation
Think about ways you've identified opportunities for innovation in your previous roles. Be prepared to share ideas on developing reusable tools or introducing new analytics techniques that could benefit the organisation.
