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- Tasks: Lead data quality issue resolution and oversee 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.
- Why this job: Make a real impact by solving complex data challenges in the insurance sector.
- Qualifications: 5+ years in data quality or analysis, with strong analytical and communication skills.
- Other info: Great opportunity for career growth and to work with talented colleagues.
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 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 Colchester employer: Arch Insurance (UK) Limited
Contact Detail:
Arch Insurance (UK) Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Quality Lead - Issue Resolution in Colchester
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work at Arch or similar companies. A friendly chat can lead to insider info about job openings and even referrals that could give you a leg up.
✨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. This will help you showcase your analytical mindset and problem-solving skills effectively.
✨Tip Number 3
Show off your skills with a portfolio! If you've worked on data quality projects or have examples of reports you've created, compile them into a portfolio. This visual proof of your expertise can really impress hiring managers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, you can set up job alerts to stay updated on new opportunities that match your skills and interests.
We think you need these skills to ace Data Quality Lead - Issue Resolution in Colchester
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 role, so don’t hold back on showcasing your relevant achievements!
Showcase Your Communication Skills: Since this role involves translating technical findings into business terms, it’s crucial to demonstrate your ability to communicate clearly. Use examples in your application that show how you’ve simplified complex topics for non-technical audiences.
Highlight Your Analytical Mindset: We’re looking for someone with a strong analytical mindset. In your application, mention specific instances where you’ve diagnosed complex data issues or led root-cause analysis. This will help us see your problem-solving skills in action!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, you can easily keep track of your application status there.
How to prepare for a job interview at Arch Insurance (UK) Limited
✨Know Your Data Inside Out
Before the interview, dive deep into the data quality issues relevant to the specialty insurance market. Familiarise yourself with common problems and solutions, especially those that might arise in the London Market. This will not only show your expertise but also help you speak confidently about how you can contribute.
✨Master the Art of Communication
Since you'll be translating technical findings for non-technical stakeholders, practice simplifying complex concepts. Prepare examples of how you've successfully communicated data issues and resolutions in the past. This will demonstrate your ability to bridge the gap between technical teams and business colleagues.
✨Showcase Your Leadership Skills
Be ready to discuss your experience leading offshore teams and mentoring analysts. Think of specific instances where you provided direction or improved team performance. Highlighting your leadership style and how you ensure quality oversight will resonate well with the interviewers.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills, like how you'd handle a recurring data issue. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This approach will help you articulate your thought process clearly and demonstrate your analytical mindset.