At a Glance
- Tasks: Join our team to ensure data quality and support decision-making with smart monitoring.
- Company: Dynamic company focused on data governance and quality.
- Benefits: Great salary, annual bonus, strong benefits, and flexible working options.
- Other info: Opportunities for career growth and skill development in a supportive environment.
- Why this job: Make a real impact by improving data quality and driving operational excellence.
- Qualifications: Strong SQL skills, attention to detail, and experience with data validation.
The predicted salary is between 35000 - 45000 £ per year.
Join our Data Quality and Governance team and play a key role in keeping critical data trustworthy, monitored, and ready for decision-making. You’ll manage DQPro rules and Ataccama data quality monitoring and run smart validation and reconciliations to spot issues early and improve stability in production.
What you’ll be doing:
- Own day-to-day DQ monitoring across DQPro and Ataccama, keeping controls current, effective, and well-documented.
- Run validation, reconciliations, and profiling to identify anomalies, false positives, and root causes.
- Produce data analysis and feedback to evidence progress, highlight trends, and ensure clear visibility of data quality status and outcomes.
- Support release and environment checks (pre‑prod to prod) and help transition new controls into stable BAU monitoring.
- Maintain DQ registers, rule inventories and evidence packs, producing clear summaries for governance forums.
- Build familiarity with Reference Data Management (RDM) processes and support the business with ad‑hoc queries, guidance and operational needs as required.
- Track recurring issues and improvements, partnering with stakeholders to drive remediation and strengthen monitoring over time.
Key Skills:
- Strong SQL fundamentals – able to read, test and make minor adjustments to queries.
- Proven capability in data validation and reconciliation, with a good attention to detail.
- Confidence working with data quality controls, including thresholds, exceptions and outcomes.
- Clear written communication, with the ability to produce concise, structured documentation.
- Execution‑focused and comfortable with repeatable operational tasks.
- Receptive to feedback and structured ways of working.
- Exposure to DQPro, Ataccama, or similar DQ tools.
- Knowledge of insurance data and understanding of data governance concepts (ownership, SLA, severity, escalation).
- Experience with Power BI and/or Tableau for dashboards and data visualisation.
- Basic familiarity with Databricks / cloud data platforms.
What’s in it for you?
- A great starting salary plus annual bonus and strong benefits package.
- Up to 16% company pension scheme.
- Private medical and dental cover.
- Menopause plan.
- Emergency care benefit (children/Pets/dependants).
- Income protection.
- Life assurance.
- Electric car scheme.
- Travel insurance.
- 25 days paid holiday plus Bank Holidays, with the opportunity to buy/sell extra leave.
- Countless opportunities to learn new skills and develop in your career.
We are also happy to consider candidates who are looking for flexible working patterns. We will ensure that individuals are provided with any reasonable accommodations to be able to participate in the job application or interview process and to perform essential job functions if successful.
Data Quality Analyst in London employer: Markel Corporation
As a Data Quality Analyst in our dynamic Data Quality and Governance team, you'll thrive in a supportive work culture that prioritises employee growth and development. With a competitive salary, comprehensive benefits including private medical cover and a generous pension scheme, plus the flexibility to adapt your working patterns, we empower our employees to achieve a healthy work-life balance while contributing to meaningful projects that enhance data integrity and decision-making.
StudySmarter Expert Advice🤫
We think this is how you could land Data Quality Analyst in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already working as Data Quality Analysts. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SQL queries, data validation projects, or any dashboards you've built with Power BI or Tableau. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common data quality scenarios. Be ready to discuss how you’ve tackled issues in the past, especially around monitoring and reconciliation. We love seeing problem-solvers!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always looking for passionate candidates who want to make a difference in data quality.
We think you need these skills to ace Data Quality Analyst in London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with data quality tools like DQPro and Ataccama. We want to see how your skills align with the role, so don’t hold back on showcasing your SQL fundamentals and data validation expertise!
Showcase Your Communication Skills:Since clear written communication is key for this role, ensure your application reflects that. Use concise language and structured formats in your documents to demonstrate your ability to produce clear summaries and documentation.
Highlight Relevant Experience:Don’t forget to mention any experience you have with data governance concepts or tools like Power BI and Tableau. We’re looking for candidates who can hit the ground running, so make sure to emphasise your familiarity with these technologies.
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, it gives you a chance to explore more about what we do at StudySmarter!
How to prepare for a job interview at Markel Corporation
✨Know Your Data Tools
Familiarise yourself with DQPro and Ataccama before the interview. Be ready to discuss how you've used these tools or similar ones in the past, and think of specific examples where you’ve successfully managed data quality monitoring.
✨Showcase Your SQL Skills
Brush up on your SQL fundamentals! Be prepared to demonstrate your ability to read and make minor adjustments to queries. You might even be asked to solve a problem on the spot, so practice some common SQL scenarios beforehand.
✨Communicate Clearly
Since clear written communication is key for this role, prepare to present your thoughts in a structured manner. Think about how you would summarise complex data findings or document processes, as you may be asked to provide examples during the interview.
✨Be Ready for Problem-Solving
Expect questions that assess your problem-solving skills, especially around data validation and reconciliation. Prepare to discuss past experiences where you identified anomalies or false positives, and how you approached resolving those issues.
