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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 on insights.
- Qualifications: Experience with SQL, data quality tools, and strong analytical skills.
- Other info: Dynamic role with opportunities for professional growth.
The predicted salary is between 30000 - 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 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
✨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 lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your experience with SQL and data quality tools. Having tangible examples of your work can really impress potential employers during interviews.
✨Tip Number 3
Practice makes perfect! Get ready for interviews by rehearsing common questions related to data analysis and stakeholder engagement. We can help you with mock interviews to boost your confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive and eager to join our collaborative environment.
We think you need these skills to ace Data Quality Analyst: Drive Clean Data & Insights
Some tips for your application 🫡
Show Off Your SQL Skills: Make sure to highlight your experience with SQL in your application. We want to see how you've used it to tackle data quality issues in the past, so don’t hold back on those details!
Be Detail-Driven: As a Data Quality Analyst, attention to detail is key. When writing your application, give examples of how you've maintained logs or identified quality issues in previous roles. This will show us you’re the right fit!
Engage with Stakeholders: We love collaboration! If you've worked with stakeholders to improve data accuracy, share those experiences. It’ll demonstrate your ability to communicate and work well with others in our team.
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 don’t miss out on any important updates from us!
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, be prepared to talk about your teamwork experiences. Share examples of how you've collaborated with others to solve data-related issues. Highlighting your ability to work well in a team will align perfectly with the collaborative environment they offer.
