At a Glance
- Tasks: Lead data quality issue resolution and guide offshore analysts to ensure accuracy.
- Company: Dynamic company focused on collaboration and innovation in the insurance sector.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Join a supportive team that values your insights and fosters career development.
- Why this job: Make a real impact by improving data quality and driving structural changes.
- Qualifications: 5+ years in data quality roles with strong analytical and communication skills.
The predicted salary is between 60000 - 75000 £ per year.
Our culture emphasizes collaboration, expertise and innovation to promote progress for clients, employees, investors and communities. We Enable Possibility℠.
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.
Data Quality Lead - Issue Resolution employer: Arch Insurance (UK) Limited
Arch Insurance (UK) Limited is an exceptional employer located in Colchester, offering a dynamic work culture that prioritises collaboration and innovation. Employees benefit from comprehensive training opportunities and a supportive environment that encourages professional growth, making it an ideal place for those looking to advance their careers in underwriting. Join us to be part of a team that values your contributions and fosters meaningful relationships with key industry players.
Contact Details:
Arch Insurance (UK) Limited Recruitment Team
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 analytical mindset.
✨Tip Number 3
Showcase your skills with real examples! When discussing your experience, highlight specific projects where you’ve successfully resolved data issues or improved processes. This will help you stand out as a candidate who can drive structural improvements.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Quality Lead - Issue Resolution
Some tips for your application 🫡
Show Your Passion for Data Quality:When you're writing your application, let your enthusiasm for data quality shine through! We want to see how much you care about ensuring accuracy and consistency in data. Share any relevant experiences that highlight your commitment to maintaining high standards.
Tailor Your Application:Make sure to customise your application to reflect the specific skills and experiences mentioned in the job description. We love it when candidates connect their background to our needs, so don’t hesitate to draw parallels between your past roles and the responsibilities of the Data Quality Lead position.
Be Clear and Concise:We appreciate straightforward communication, so keep your application clear and to the point. Use simple language to explain your experiences and avoid jargon unless it's necessary. Remember, we want to understand your qualifications without having to decode complex terms!
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 ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Arch Insurance (UK) Limited
✨Know Your Data Inside Out
Make sure you have a solid understanding of data quality issues, especially within 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.
✨Showcase Your Analytical Skills
Prepare to demonstrate your analytical mindset by discussing specific examples where you've diagnosed complex data issues. Use methods like the 5 Whys or Fishbone analysis to illustrate your problem-solving approach.
✨Communicate Clearly and Confidently
Practice simplifying technical topics for non-technical audiences. You might be asked to explain complex findings to stakeholders, so being able to translate technical jargon into clear business terms is key.
✨Highlight Your Leadership Experience
If you've led or mentored teams before, be ready to share those experiences. Discuss how you've guided offshore analysts and ensured quality oversight, as well as any strategies you've used to improve team performance.
