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- Tasks: Provide analytical support in data quality management and AI monitoring.
- Company: Leading UK financial services firm with a focus on innovation.
- Benefits: Competitive salary, 10% pension contribution, private medical insurance, and hybrid work flexibility.
- Why this job: Join a dynamic team and make an impact in data governance and AI.
- Qualifications: Proven data analysis experience, strong SQL and Python skills, knowledge of GDPR.
- Other info: Exciting opportunities for career growth in a supportive environment.
The predicted salary is between 40000 - 50000 £ per year.
A leading UK financial services firm is looking for a Data Analyst (Governance) to provide analytical support in data quality management, metadata, and AI monitoring. This role requires proven experience in data analysis, strong SQL and Python skills, and knowledge of regulatory environments like GDPR.
Benefits include:
- a competitive salary
- a 10% employer pension contribution
- private medical insurance
- flexibility to work hybrid in London
Data Analyst — Governance & AI Monitoring employer: Ardonagh Specialty
Contact Detail:
Ardonagh Specialty Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst — Governance & AI Monitoring
✨Tip Number 1
Network like a pro! Reach out to professionals in the financial services sector on LinkedIn. Join relevant groups and engage in discussions about data analysis, governance, and AI monitoring. You never know who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those involving SQL and Python. This will give potential employers a taste of what you can do and set you apart from the competition.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of GDPR and other regulatory environments. Be ready to discuss how you've applied your analytical skills in real-world scenarios, particularly in data quality management and AI monitoring.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that match your skills. Plus, it’s a great way to ensure your application gets seen by the right people. Let’s get you that Data Analyst role!
We think you need these skills to ace Data Analyst — Governance & AI Monitoring
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data analysis, SQL, and Python. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data governance and AI monitoring. We love seeing candidates who can connect their personal interests with our mission.
Showcase Your Regulatory Knowledge: Since this role involves working within regulatory environments like GDPR, make sure to mention any relevant experience or knowledge you have. It’ll show us that you understand the importance of compliance in data management.
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Ardonagh Specialty
✨Know Your Data Inside Out
Make sure you brush up on your data analysis skills, especially in SQL and Python. Be prepared to discuss specific projects where you've used these tools, and how they relate to data quality management and AI monitoring.
✨Understand the Regulatory Landscape
Familiarise yourself with GDPR and other relevant regulations. Be ready to explain how these regulations impact data governance and what measures you've taken in past roles to ensure compliance.
✨Showcase Your Analytical Mindset
Prepare to demonstrate your analytical thinking during the interview. Think of examples where you've solved complex problems using data analysis, and be ready to walk through your thought process step-by-step.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the role and the company. Inquire about their current data governance challenges or how they leverage AI in their operations to show you're engaged and proactive.