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- Tasks: Lead data quality issue resolution and guide offshore analysts to ensure accuracy.
- Company: Join a collaborative and innovative company that empowers progress.
- Benefits: Competitive salary, professional development, and a supportive work environment.
- Other info: Great opportunity for career growth and to work with talented colleagues.
- Why this job: Make a real impact by solving complex data challenges in the insurance sector.
- Qualifications: 5+ years in data quality or analysis, strong analytical and communication skills.
The predicted salary is between 60000 - 75000 ÂŁ per year.
With a company culture rooted in collaboration, expertise and innovation, we aim to promote progress and inspire our clients, employees, investors and communities to achieve their greatest potential. Our work is the catalyst that helps others achieve their goals. In short, We Enable Possibilityâ„ .
Key Tasks and Responsibilities
- End to End Ownership of the Data Quality Issue Lifecycle: Oversee triage, root‑cause analysis, assignment, resolution, and closure of data issues. Ensure SLAs are met, blockers escalated, and stakeholders updated. Maintain a clear and transparent view of issue status and ageing.
- Lead and guide offshore Data Quality Analysts: Provide daily direction, prioritisation, and quality oversight. Review offshore work outputs to ensure accuracy and consistency. Coach analysts to improve investigation quality, documentation clarity, and prevention thinking.
- Work directly with stakeholders across the business: Act as the primary point of contact for UK‑based data owners, SMEs, and operations teams. Run workshops or playback sessions to explain issues, remediation plans, and expected changes. Translate technical findings into clear business terms.
- Partner with IT and Operations to deliver fixes: Collaborate with technology teams to validate technical defects and ensure production fixes are implemented correctly. Align with Operations to embed new processes that prevent recurrence. Support change assessments where fixes intersect with projects or system releases.
- Drive structural data quality improvements: Identify recurring issue patterns and propose prevent‑rather‑than‑correct actions. Contribute to data rule definitions, quality controls, validation logic, and monitoring dashboards. Recommend updates to data standards, lineage, and ownership models.
- Reporting and governance: Produce weekly/monthly DQ reporting for management. Ensure all issues are documented to an audit‑ready standard. Support Data Governance forums with insights on emerging risks and thematic trends.
Skills / Competencies
- Deep understanding of critical data flows and business processes within the speciality insurance market including the London Market.
- Ability to produce clear and concise reports and documentation for both technical and non-technical audiences.
- Strong analytical mindset with proven ability to diagnose complex data issues.
- Excellent communication skills — able to simplify technical topics for business colleagues.
- Stakeholder confidence: comfortable leading conversations and challenging assumptions constructively.
- Organised and structured, with the ability to manage multiple concurrent issues.
- Skilled in root‑cause analysis methods (e.g., 5 Whys, Fishbone, data lineage mapping).
- Ability to guide offshore teams and ensure consistent quality of work.
- Understanding of data governance, data controls, and regulatory data expectations.
- Proficiency with SQL, Excel, and data quality tooling (DQ dashboards, issue‑tracking, profiling tools).
Qualifications
- Bachelor’s or master’s degree in a highly analytical discipline.
- Nice to Have: Professional certifications in business analysis (e.g. ISEB) and data management (e.g. DAMA).
Experience
- 5+ years in data quality, data analysis, MDM, or similar roles.
- Experience leading or mentoring junior or offshore analysts.
- Demonstrable success resolving cross functional data issues end to end.
- Experience within specialty insurance and the London Market.
- Exposure to root cause analysis, issue management tooling, and data governance practices.
Do you like solving complex business problems, working with talented colleagues and have an innovative mindset? Arch may be a great fit for you. If this job isn’t the right fit but you’re interested in working for Arch, create a job alert! Simply create an account and opt in to receive emails when we have job openings that meet your criteria. Join our talent community to share your preferences directly with Arch’s Talent Acquisition team.
Data Quality Lead - Issue Resolution in London employer: Arch
Contact Detail:
Arch Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Quality Lead - Issue Resolution in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work at companies you're interested in. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to data quality. We recommend role-playing with a friend or using online resources to sharpen your responses and boost your confidence.
✨Tip Number 3
Showcase your skills through real-world examples. When discussing your experience, highlight specific projects where you resolved data issues or improved processes. This will demonstrate your expertise and problem-solving abilities.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, you can set up job alerts to stay updated on new opportunities that match your skills.
We think you need these skills to ace Data Quality Lead - Issue Resolution in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience in data quality and issue resolution. We want to see how your skills align with the key tasks and responsibilities outlined in the job description.
Showcase Your Analytical Skills: Since this role requires a strong analytical mindset, include examples of how you've diagnosed complex data issues in the past. We love seeing real-life scenarios where you've made a difference!
Communicate Clearly: Remember, you’ll need to simplify technical topics for non-technical audiences. Use clear and concise language in your application to demonstrate your communication skills. We appreciate clarity just as much as you do!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and keep track of your application. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Arch
✨Know Your Data Inside Out
Before the interview, make sure you have a solid understanding of data quality issues, especially in the specialty insurance market. Brush up on your knowledge of critical data flows and be ready to discuss how you've tackled similar challenges in the past.
✨Prepare for Technical Questions
Expect questions about root-cause analysis methods like the 5 Whys or Fishbone diagrams. Be prepared to explain how you've used these techniques to resolve complex data issues. Practising with real-life examples will help you articulate your thought process clearly.
✨Showcase Your Communication Skills
Since you'll need to translate technical findings into business terms, practice explaining complex concepts in simple language. Think of examples where you've successfully communicated with non-technical stakeholders and how that led to effective solutions.
✨Demonstrate Leadership and Mentoring Experience
Highlight any experience you have in guiding offshore teams or mentoring junior analysts. Be ready to discuss how you've ensured quality oversight and improved investigation processes, as this will show your capability to lead and inspire others.