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- Tasks: Analyse data to improve quality and support strategic decision-making.
- Company: Join a leading legal firm with a focus on data governance.
- Benefits: 25 days holiday, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact by ensuring data accuracy in a dynamic environment.
- Qualifications: Experience in data quality reporting and strong analytical skills required.
- Other info: Collaborative culture with a focus on continuous improvement and learning.
The predicted salary is between 36000 - 60000 £ per year.
We are looking for a Data Quality Analyst to join our Data & Analytics function, working within the Data & Records Governance team. This is an exciting opportunity for someone who is detail driven, collaborative and keen to develop their career in data quality within a complex, regulated environment.
As a Data Quality Analyst, you’ll play a key role in improving the accuracy, integrity and reliability of our data. Working closely with Data Owners, Data Champions and wider business stakeholders, you’ll help identify data quality issues, recommend and implement solutions, and support a culture of continuous improvement.
You’ll be involved in both day-to-day data quality activity and longer-term change initiatives, ensuring data quality requirements are embedded from the start of projects and that future issues are prevented wherever possible. Your work will directly support strategic decision-making and help Irwin Mitchell unlock greater value from its data.
Key Responsibilities- Analyse data sets to identify, track and resolve data quality issues raised by the business.
- Support and maintain the data quality issues log, working with stakeholders to agree remediation actions.
- Carry out data validation, verification and cleansing activities.
- Work with the Senior Data Quality Analyst, Data Owners and Data Champions to investigate and resolve data discrepancies.
- Proactively assess data quality and recommend improvements to data capture and processes.
- Monitor and report on key data quality metrics and indicators.
- Contribute to the development of the Data Glossary, data quality rules and data lineage documentation.
- Provide guidance, training and support to colleagues on data quality best practice.
- Support data governance and compliance activities, including understanding relevant regulatory requirements.
- Engage with change and transformation projects to ensure data quality is considered from the outset.
You’ll be someone who enjoys working with data, spotting patterns and issues, and collaborating with others to put things right. You’ll be comfortable working in a changing environment and able to balance attention to detail with the bigger picture.
Essential experience and skills:- Experience producing data quality reporting and driving issue resolution.
- Ability to understand and write SQL (or equivalent) to support data analysis.
- Strong analytical and problem-solving skills.
- Excellent communication skills, with the ability to engage both technical and non-technical stakeholders.
- Evidence of reviewing, improving and adapting processes.
- A collaborative approach and willingness to learn and keep up to date with data quality best practice.
- Hands-on experience using data quality tools such as Microsoft Purview, Great Expectations or similar.
- Experience working in the legal sector or another regulated environment.
- Experience working in a medium to large, multi-disciplinary organisation.
25 days holidays as standard plus
Data Quality Analyst (5954) in London employer: Irwin Mitchell
Contact Detail:
Irwin Mitchell Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Quality Analyst (5954) in London
✨Tip Number 1
Network like a pro! Reach out to current Data Quality Analysts or professionals in the Data & Analytics field. Use platforms like LinkedIn to connect and ask for informational interviews. This can give you insider knowledge about the role and the company culture.
✨Tip Number 2
Prepare for your interview by brushing up on your SQL skills and data quality tools. Be ready to discuss how you've tackled data quality issues in the past. We want to see your analytical mindset in action, so have some examples up your sleeve!
✨Tip Number 3
Show off your collaborative spirit! During interviews, highlight times when you worked with stakeholders to resolve data discrepancies. We love candidates who can communicate effectively with both technical and non-technical teams.
✨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, it shows you're genuinely interested in joining our team at Irwin Mitchell.
We think you need these skills to ace Data Quality Analyst (5954) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the Data Quality Analyst role. Highlight your experience with data quality reporting and any tools you've used, like SQL or Microsoft Purview. We want to see how your skills match 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 you can contribute to our team. Be sure to mention any relevant experience in regulated environments, as that’s a big plus for us.
Showcase Your Analytical Skills: In your application, don’t forget to highlight your analytical and problem-solving skills. Share examples of how you've identified and resolved data quality issues in the past. We love seeing real-life applications of your skills!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you get all the updates. Plus, it shows you're keen on joining our team at StudySmarter!
How to prepare for a job interview at Irwin Mitchell
✨Know Your Data Quality Fundamentals
Before the interview, brush up on your data quality principles. Understand key concepts like data validation, cleansing, and governance. Being able to discuss these topics confidently will show that you're not just familiar with the role but genuinely passionate about data quality.
✨Prepare Real-World Examples
Think of specific instances where you've identified and resolved data quality issues in the past. Be ready to share these examples during the interview, as they demonstrate your analytical skills and problem-solving abilities. Use the STAR method (Situation, Task, Action, Result) to structure your responses.
✨Familiarise Yourself with SQL
Since understanding SQL is essential for this role, make sure you can discuss your experience with it. If you’ve worked with SQL or similar tools, prepare to talk about how you’ve used them to analyse data sets and drive issue resolution. A little practice can go a long way!
✨Engage with Stakeholder Scenarios
Given the collaborative nature of the role, think about how you would engage with both technical and non-technical stakeholders. Prepare to discuss how you would communicate data quality issues and solutions effectively. This will highlight your excellent communication skills and your ability to work well in a team.
