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- Tasks: Ensure data accuracy and reliability by analysing quality issues and engaging stakeholders.
- Company: Leading legal services provider in England with a focus on collaboration.
- Benefits: Generous holiday allocations, wellness initiatives, and a supportive work environment.
- Why this job: Join a team that values clean data and make a real impact in the legal sector.
- Qualifications: Experience with SQL, data quality tools, and strong analytical skills.
- Other info: Dynamic role with opportunities for professional growth and development.
The predicted salary is between 28800 - 48000 £ per year.
A leading legal services provider in England is seeking a detail-driven Data Quality Analyst to enhance data accuracy and reliability.
Responsibilities include:
- Analyzing data for quality issues
- Maintaining logs
- Engaging stakeholders
Ideal candidates should have experience with SQL, data quality tools, and strong analytical skills. This role offers a collaborative work environment and benefits like generous holiday allocations and wellness initiatives.
Data Quality Analyst: Drive Clean Data & Insights 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: Drive Clean Data & Insights in London
✨Tip Number 1
Network like a pro! Reach out to people in the legal services sector or those already working as Data Quality Analysts. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! If you've got experience with SQL and data quality tools, make sure to highlight that in conversations. We want to see how you can drive clean data and insights, so be ready to share examples of your work.
✨Tip Number 3
Prepare for interviews by brushing up on common data quality issues and solutions. We know that being detail-driven is key, so think of scenarios where you've tackled data challenges head-on and be ready to discuss them.
✨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 the initiative to engage directly with us.
We think you need these skills to ace Data Quality Analyst: Drive Clean Data & Insights in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL and data quality tools. We want to see how your skills align with the role of a Data Quality Analyst, so don’t be shy about showcasing your analytical prowess!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data accuracy and how you can contribute to our team. Keep it engaging and relevant to the job description.
Showcase Your Attention to Detail: As a Data Quality Analyst, attention to detail is key. Make sure your application is free from typos and errors. We appreciate candidates who take the time to present their best work!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the easiest way for us to receive your application and ensures you’re considered for this exciting opportunity. Let’s get started on this journey together!
How to prepare for a job interview at Irwin Mitchell
✨Know Your SQL Inside Out
Make sure you brush up on your SQL skills before the interview. Be prepared to discuss your experience with SQL queries and how you've used them to identify data quality issues in the past. Practising some common SQL problems can really help you stand out.
✨Showcase Your Analytical Skills
Prepare examples of how you've tackled data quality challenges in previous roles. Think about specific instances where your analytical skills made a difference. This will demonstrate your ability to engage stakeholders and drive clean data effectively.
✨Familiarise Yourself with Data Quality Tools
Research the data quality tools commonly used in the industry. If you have experience with any specific tools, be ready to discuss how you've utilised them to enhance data accuracy. Showing that you're proactive about learning new tools can impress your interviewers.
✨Emphasise Collaboration
Since this role involves engaging with stakeholders, highlight your teamwork experiences. Share stories that illustrate your ability to work collaboratively in a team environment, as well as how you’ve communicated complex data insights to non-technical colleagues.
