At a Glance
- Tasks: Lead data quality issue resolution and guide offshore analysts to ensure accuracy.
- Company: Join a collaborative and innovative company that enables possibilities.
- 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: Solve complex data problems and make a real impact in the insurance industry.
- Qualifications: 5+ years in data quality or analysis with strong analytical and communication skills.
The predicted salary is between 36000 - 60000 £ 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 Possibility℠.
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 employer: Arch Insurance
At Arch Europe Insurance Services Ltd, we pride ourselves on fostering a collaborative and innovative work environment that empowers our employees to reach their full potential. As a Lead Software Developer, you will benefit from continuous professional development opportunities, a supportive team culture, and the chance to work with cutting-edge technologies in a dynamic location that inspires creativity and growth.
StudySmarter Expert Advice🤫
We think this is how you could land Data Quality Lead - Issue Resolution
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work in data quality or insurance. A friendly chat can lead to insider info about job openings that aren’t even advertised yet.
✨Tip Number 2
Prepare for interviews by practising common questions related to data quality and issue resolution. We recommend using the STAR method (Situation, Task, Action, Result) to structure your answers and showcase your problem-solving skills.
✨Tip Number 3
Showcase your analytical mindset! During interviews, be ready to discuss specific examples of how you’ve diagnosed complex data issues. Use clear, concise language to explain your thought process and solutions.
✨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
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Data Quality Lead role. Highlight your experience in data quality and issue resolution, and don’t forget to mention any relevant skills like SQL or root-cause analysis that match what we’re looking for.
Showcase Your Communication Skills:Since this role involves working with various stakeholders, it’s crucial to demonstrate your ability to simplify complex topics. Use clear language in your application to show us you can communicate effectively with both technical and non-technical audiences.
Highlight Your Leadership Experience:If you’ve led teams or mentored analysts before, make sure to include that in your application. We value candidates who can guide others and ensure quality work, so share specific examples of how you’ve done this in the past.
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’re considered for the role. Plus, you’ll get to see all the other opportunities we have available!
How to prepare for a job interview at Arch Insurance
✨Know Your Data Inside Out
Before the interview, make sure you have a solid understanding of data quality issues, especially in the context of the specialty insurance market. Brush up on your knowledge of critical data flows and be ready to discuss how you've tackled complex data problems in the past.
✨Communicate Clearly and Confidently
Since the role involves translating technical findings into business terms, practice explaining complex concepts in simple language. Use examples from your experience to demonstrate your ability to communicate effectively with both technical and non-technical stakeholders.
✨Showcase Your Analytical Skills
Be prepared to discuss specific instances where you've used root-cause analysis methods like the 5 Whys or Fishbone diagrams. Highlight how these skills helped you resolve data issues and improve processes, as this will resonate well with the interviewers.
✨Demonstrate Leadership and Mentoring Experience
If you've led or mentored teams before, share those experiences during the interview. Talk about how you guided offshore analysts and ensured quality oversight, as this aligns perfectly with the responsibilities of the Data Quality Lead role.
