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, private medical cover, and flexible working options.
- Other info: Opportunities for career development and learning new skills.
- Why this job: Make a real impact by improving data quality and driving operational excellence.
- Qualifications: Strong SQL skills and attention to detail in data validation.
The predicted salary is between 30000 - 40000 £ 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 employer: Markel Corporation
Join a forward-thinking company that prioritises data integrity and employee well-being, offering a competitive salary alongside an extensive benefits package including a generous pension scheme and private medical cover. Our collaborative work culture fosters continuous learning and development, ensuring you have the tools and support to thrive in your role as a Data Quality Analyst. With flexible working options and a commitment to inclusivity, we create an environment where every team member can contribute meaningfully and grow their career.
StudySmarter Expert Advice🤫
We think this is how you could land Data Quality Analyst
✨Tip Number 1
Network like a pro! Reach out to folks in the Data Quality and Governance field on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! If you’ve got experience with SQL, DQPro, or Ataccama, make sure to highlight that in conversations. Bring examples of how you've tackled data quality issues in the past.
✨Tip Number 3
Prepare for those interviews! Research common questions for Data Quality Analysts and practice your answers. Be ready to discuss how you’d handle validation and reconciliation tasks.
✨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, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Quality Analyst
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the Data Quality Analyst role. Highlight your SQL skills, data validation experience, and any familiarity with DQ tools like DQPro or Ataccama. We want to see how your background fits our needs!
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 skills can help us maintain trustworthy data. Keep it concise but impactful – we love a good story!
Showcase Your Attention to Detail:In the world of data quality, attention to detail is key. When you describe your past experiences, be sure to mention specific examples where your keen eye helped identify issues or improve processes. We appreciate candidates who can spot the little things!
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. Plus, it’s super easy!
How to prepare for a job interview at Markel Corporation
✨Know Your Tools
Familiarise yourself with DQPro and Ataccama before the interview. Be ready to discuss how you've used these tools in past roles or how you would approach data quality monitoring using them.
✨Showcase Your SQL Skills
Brush up on your SQL fundamentals. Prepare to demonstrate your ability to read and make minor adjustments to queries, as this will likely come up during technical discussions.
✨Communicate Clearly
Practice articulating your thoughts clearly and concisely. You’ll need to produce structured documentation, so being able to explain complex data issues simply will impress your interviewers.
✨Be Ready for Scenarios
Think of examples where you've identified anomalies or false positives in data. Be prepared to walk through your thought process and how you partnered with stakeholders to resolve these issues.
