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- Tasks: Analyse data sets and resolve quality issues to enhance data accuracy.
- Company: National law firm with a strong focus on data and analytics.
- Benefits: Generous annual leave, flexible working model, and supportive work environment.
- Why this job: Join a dynamic team and make a real impact on data integrity.
- Qualifications: SQL skills and experience with data quality tools required.
- Other info: Collaborative culture with opportunities for professional growth.
The predicted salary is between 36000 - 60000 £ per year.
A national law firm is seeking a Data Quality Analyst to join its Data & Analytics function. The role demands attention to detail and strong collaboration to improve data accuracy, integrity, and reliability.
Key responsibilities include:
- Analyzing data sets
- Resolving quality issues
- Supporting data governance
Ideal candidates will possess SQL skills, experience with data quality tools, and a collaborative mindset. This position offers a supportive work environment and numerous benefits, including generous annual leave and a flexible working model.
Data Quality Analyst — Legal Data & Analytics employer: Irwin Mitchell LLP
Contact Detail:
Irwin Mitchell LLP Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Quality Analyst — Legal Data & Analytics
✨Tip Number 1
Network like a pro! Reach out to current or former employees of the law firm on LinkedIn. A friendly chat can give us insider info and might even lead to a referral.
✨Tip Number 2
Show off your SQL skills! Prepare a mini-project or case study that highlights your data analysis abilities. Bring it up during interviews to demonstrate your hands-on experience.
✨Tip Number 3
Be ready to discuss data quality tools you’ve used. We should have examples at the tip of our tongues, showcasing how we tackled data issues in past roles.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step.
We think you need these skills to ace Data Quality Analyst — Legal Data & Analytics
Some tips for your application 🫡
Show Off Your SQL Skills: Make sure to highlight your SQL skills in your application. We want to see how you can use them to tackle data quality issues, so don’t hold back on sharing relevant experiences!
Detail is Key: Since attention to detail is crucial for this role, ensure your application is free from typos and errors. We appreciate a polished application that reflects your commitment to quality.
Collaborate in Your Application: We love a collaborative mindset! Share examples of how you've worked with others to improve data accuracy or resolve quality issues. It’ll show us you’re a great fit for our team.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity.
How to prepare for a job interview at Irwin Mitchell LLP
✨Know Your SQL Inside Out
Make sure you brush up on your SQL skills before the interview. Be prepared to discuss how you've used SQL in past roles, and maybe even tackle a few practical questions or exercises. This will show that you’re not just familiar with the language but can also apply it effectively.
✨Showcase Your Attention to Detail
Since the role demands a keen eye for detail, think of specific examples where your attention to detail made a difference. Whether it was identifying a data discrepancy or improving a process, be ready to share these stories to highlight your capabilities.
✨Emphasise Collaboration Skills
Collaboration is key in this role, so come prepared with examples of how you've worked with others to resolve data quality issues. Discuss any tools or methods you’ve used to facilitate teamwork and ensure everyone is on the same page.
✨Understand Data Governance Principles
Familiarise yourself with data governance concepts and be ready to discuss how they apply to the role. Showing that you understand the importance of data integrity and reliability will demonstrate your commitment to maintaining high standards in data management.
