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- Tasks: Lead data quality issue resolution and oversee offshore analysts for top-notch results.
- Company: Join a collaborative and innovative company that empowers progress.
- Benefits: Enjoy hybrid working, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact by driving data quality improvements in the insurance sector.
- Qualifications: 5+ years in data quality roles with strong analytical and communication skills.
- Other info: Dynamic environment with opportunities to mentor and lead teams.
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.
- 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).
- 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).
- 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: Mcneil & Co.
Contact Detail:
Mcneil & Co. Recruiting 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 and even referrals.
✨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 experience effectively.
✨Tip Number 3
Showcase your analytical skills during interviews. Be ready to discuss specific examples of how you've tackled complex data issues in the past. This will demonstrate your problem-solving abilities and understanding of the role.
✨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 CV: Make sure your CV speaks directly to the Data Quality Lead role. Highlight your experience with data quality, issue resolution, and any relevant tools like SQL or Excel. 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 passionate about data quality and how your background makes you a perfect fit for our team. Keep it concise but impactful – we love a good story!
Showcase Your Analytical Skills: In your application, don’t forget to mention specific examples of how you've tackled complex data issues in the past. We’re keen on seeing your analytical mindset in action, so share those success stories with us!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team at StudySmarter!
How to prepare for a job interview at Mcneil & Co.
✨Know Your Data Inside Out
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 similar challenges in the past.
✨Prepare for Technical Questions
Expect questions around 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 and improve processes.
✨Showcase Your Communication Skills
Since you'll be translating technical findings for non-technical stakeholders, practice simplifying complex topics. Think of examples where you've successfully communicated data issues and solutions to diverse audiences.
✨Demonstrate Leadership and Mentoring Experience
Highlight any experience you have leading teams or mentoring junior analysts. Share specific instances where your guidance improved team performance or the quality of work, especially in an offshore setting.