Data Quality Analyst

Data Quality Analyst

Full-Time 30000 - 40000 £ / year (est.) Home office (partial)
Markel

At a Glance

  • Tasks: Monitor data quality, run validations, and support strategic data programmes.
  • Company: Markel, a supportive and collaborative workplace focused on data excellence.
  • Benefits: Great salary, annual bonus, private medical cover, and 25 days holiday.
  • Other info: Flexible working options and opportunities for career growth.
  • Why this job: Make a real impact on data quality while developing your skills in a dynamic environment.
  • Qualifications: Strong SQL skills, attention to detail, and experience with data validation.

The predicted salary is between 30000 - 40000 £ per year.

The opportunity Markel is searching for a self‑motivated and capable individual to make a tangible contribution to Data Quality processes. The right candidate can work independently, be a good team player, align with shared goals, communicate effectively across functions, and contribute to a collaborative and supportive team environment. The ideal candidate will be passionate about developing and maintaining positive data management practices, an individual with a flexible, proactive and customer‑focused mindset. The successful candidate will support business‑as‑usual (BAU) operations related to reference data and data quality management, while also contributing to the rollout of strategic data programmes. They will be open to participating in and supporting change management initiatives and helping to embed new ways of working across the organisation.

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.
  • And other great benefits on offer along with many opportunities to learn new skills and develop your career.

Application & Accommodations:

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. Flexible working patterns may be considered. Contact us to request any accommodations or adjustments: rec@markel.com or call 0161 507 5827.

Data Quality Analyst employer: Markel

Markel is an exceptional employer that fosters a collaborative and supportive work culture, making it an ideal place for a Data Quality Analyst to thrive. With a strong focus on employee growth, the company offers extensive benefits including a competitive salary, generous pension scheme, and comprehensive health coverage, alongside opportunities for skill development and career advancement. Located in a dynamic environment, Markel encourages flexibility and innovation, ensuring that employees can contribute meaningfully while enjoying a healthy work-life balance.

Markel

Contact Details:

Markel Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Quality Analyst

Tip Number 1

Network like a pro! Reach out to people in the industry, especially those who work at Markel or similar companies. A friendly chat can open doors and give you insights that might just help you land that Data Quality Analyst role.

Tip Number 2

Prepare for the interview by brushing up on your SQL skills and data quality concepts. Be ready to discuss how you've tackled data validation and reconciliation in the past. Show us your passion for data management!

Tip Number 3

Don’t forget to showcase your communication skills! Whether it’s through your CV or during interviews, make sure you highlight how you can produce clear, structured documentation and collaborate effectively with teams.

Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.

We think you need these skills to ace Data Quality Analyst

Data Quality Monitoring
SQL Fundamentals
Data Validation
Data Reconciliation
Attention to Detail
Data Quality Controls
Clear Written Communication

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored 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 aligns with what we're looking for!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to express your passion for data quality and how you can contribute to our team. Be sure to mention your proactive mindset and ability to work collaboratively, as these are key traits we value.

Showcase Your Communication Skills:Since clear written communication is crucial for this role, make sure your application materials are well-structured and free of errors. We appreciate concise documentation, so keep it clear and to the point while showcasing your attention to detail.

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 shows you're keen on joining our team at StudySmarter!

How to prepare for a job interview at Markel

Know Your Data Tools

Familiarise yourself with DQPro, Ataccama, and any other data quality tools mentioned in the job description. Be ready to discuss how you've used similar tools in the past and how they can help improve data quality processes.

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 showcase your documentation skills. Bring examples of concise summaries or reports you've created in the past, and be ready to explain how you ensure clarity and structure in your work.

Emphasise Team Collaboration

Markel values a collaborative environment, so think of examples where you've successfully worked in a team. Highlight your ability to align with shared goals and how you've contributed to change management initiatives in previous roles.