At a Glance
- Tasks: Analyse data and support AI governance while ensuring high-quality data management.
- Company: Join Ardonagh Specialty, a vibrant and inclusive workplace with growth opportunities.
- Benefits: Enjoy flexible working, competitive salary, and fantastic discounts on big-name brands.
- Why this job: Make an impact in data governance and AI monitoring in a dynamic environment.
- Qualifications: Experience in data analysis, SQL/Python skills, and knowledge of AI concepts.
- Other info: Diverse team culture with a commitment to continuous improvement and learning.
The predicted salary is between 40000 - 50000 £ per year.
Location: London/Hybrid (Typically 2/3 days in the office)
Type: Full time – 12 Months Fixed Term
At Ardonagh Specialty, we provide much more than just a workplace. We are dedicated to fostering skill development and knowledge within a team that is passionate about their work, values our employees, and truly celebrates diversity. Working at Ardonagh Specialty means you'll be part of The Ardonagh Group. We are proud of our innovative environment offering many opportunities for growth across the wider group. Employees regularly move between our united teams, and we encourage you to make your role your own.
Our offices are lively and exciting places to be, but we understand that life needs flexibility, and offer a genuinely flexible approach to working. If you are looking to join a thriving, energetic business with exciting plans, this role could be an ideal fit for you.
What we can offer:
- Inclusive culture with apprenticeships, study support, participation in our annual Spotlight Awards, Community Trust, Sports Teams, office socials, events and more.
- Access to wellbeing programs, fantastic discounts across many big-name businesses including supermarkets, gym memberships, restaurants, and healthcare cash plans.
- Employer pension contribution of 10% (providing you, the Employee provides 5%).
- Good work-life balance – flexibility to suit you.
- Competitive salary.
- Life Assurance at X4 of your base salary.
- Group Income Protection.
- Generous Annual Leave entitlement.
- Private Medical Insurance.
- Group annual bonus scheme.
Key Responsibilities:
- Provide flexible, multi-disciplinary analytical support across traditional data quality management, metadata and taxonomy development, and emerging AI monitoring capabilities.
- Design, implement and maintain data quality rules, profiling routines, and dashboards using enterprise tooling.
- Support development of metadata standards, classification models, taxonomies, and labelling structures across domains.
- Build and operate AI monitoring controls, including bias detection, drift analysis, performance tracking, and model validation.
- Analyse information and data assets to surface insights, trends, anomalies, and emerging risks across business processes.
- Document processes, lineage, rules, and control frameworks to ensure transparency and auditability.
- Collaborate with Digital, DPO, Risk & Compliance, and business stakeholders to ensure data is governed, protected, and fit for purpose.
- Support generalist analytical tasks, including reporting, root-cause analysis, and ad-hoc investigations.
- Contribute to continuous improvement of data and AI governance standards, tooling, and processes.
What you will bring:
- Proven experience as a Data Analyst, ideally spanning data quality, metadata management, and general analytics.
- Experience using data quality tooling and working with structured/unstructured datasets.
- Strong understanding of metadata concepts such as classification, lineage, taxonomies, and ontology modelling.
- Exposure to AI/ML concepts including model monitoring, fairness/bias techniques, drift detection, hold-out testing, cross-validation, and performance measurement.
- Strong SQL/Python skills for data analysis and control development.
- Experience in regulated environments (financial services, insurance, or similar) is beneficial.
- Familiarity with GDPR, data protection obligations, and responsible AI principles.
We truly value the diversity of our teams and as a Group, we are committed to supporting and welcoming individuals from all backgrounds, as we appreciate every perspective is a significant part of our success.
Data Analyst (Governance) in London employer: Ardonagh Specialty
Contact Detail:
Ardonagh Specialty Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst (Governance) in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Ardonagh Specialty on LinkedIn. Ask them about their experiences and any tips they might have for the interview process. A friendly chat can give you insider info that could set you apart.
✨Tip Number 2
Prepare for the interview by brushing up on your data governance knowledge. Be ready to discuss how you’ve tackled data quality issues in the past. Show us your analytical mindset and how you can translate complex data into actionable insights!
✨Tip Number 3
Don’t forget to showcase your adaptability! The role requires working across multiple streams, so share examples of how you’ve successfully juggled different projects or tasks. We love candidates who can thrive in a dynamic environment.
✨Tip Number 4
Finally, apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining our team. Let’s make this happen together!
We think you need these skills to ace Data Analyst (Governance) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Analyst (Governance) role. Highlight relevant experience in data quality management, metadata, and AI monitoring. 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 excited about this role and how your background makes you a great fit. Don’t forget to mention your adaptability and analytical mindset – we love that!
Showcase Your Skills: When filling out your application, be sure to showcase your SQL and Python skills. If you've worked with data quality tooling or have experience in regulated environments, let us know! We’re keen on seeing your technical prowess.
Apply Through Our Website: We encourage you to apply through our website for the best chance of being noticed. It’s super easy, and you’ll be part of our exciting journey at Ardonagh Specialty. Don’t miss out on this opportunity!
How to prepare for a job interview at Ardonagh Specialty
✨Know Your Data Inside Out
Before the interview, brush up on your knowledge of data quality management, metadata concepts, and AI monitoring. Be ready to discuss specific tools you've used, like SQL or Python, and how they relate to the role. This shows you're not just familiar with the concepts but can apply them practically.
✨Showcase Your Analytical Mindset
Prepare examples that highlight your analytical skills and attention to detail. Think about times when you identified trends or anomalies in data and how you communicated those insights to stakeholders. This will demonstrate your ability to translate complex data into actionable business insights.
✨Emphasise Collaboration Skills
Since the role involves working with various teams, be ready to talk about your experience collaborating with different stakeholders. Share examples of how you’ve worked with Digital, Risk & Compliance, or other departments to ensure data governance and compliance. This shows you can engage confidently across functions.
✨Stay Curious About Emerging Trends
Express your enthusiasm for continuous learning, especially in areas like AI governance and data management practices. Mention any recent developments or trends you've followed and how they could impact the role. This reflects your proactive mindset and commitment to staying updated in a fast-evolving field.