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- Tasks: Analyse data quality and improve governance in a dynamic public sector environment.
- Company: Respected public sector business with a focus on specialist careers.
- Benefits: Hybrid working, competitive salary, and opportunities for professional growth.
- Other info: Join a diverse team committed to equal opportunities and career development.
- Why this job: Make a real impact by enhancing data quality and driving improvements.
- Qualifications: Strong SQL skills and experience with data visualisation tools like Power BI or Tableau.
Lioness Recruitment believes it takes specialist experience to find specialist careers. A large, respected public sector business is looking for a Data Quality Analyst with solid SQL and visualisation skills to support internal data quality and governance as a part of their data quality team. This role requires hybrid working with approximately 3 days per week working from London based offices.
You will be responsible for understanding root causes of poor data practices and recommending improvements. You will develop, maintain, and improve data quality scorecards. You will perform data audits to assess accuracy and consistency in data standards. You will be required to query large data sets and produce attractive visualisations to measure data quality metrics; therefore, strong SQL, Power BI, Excel or Tableau skills are essential.
Essential Skills:- Track record working in a similar data quality specific role within large commercial organisations
- Strong SQL – ability to write scripts & query relational databases
- Power BI or Tableau
- Proven track record of identifying data quality issues and anomalies
- Experience implementing and championing data quality/governance frameworks
Lioness Recruitment acts as an employment agency and an employment business. We are an equal opportunities employer, committed to diversity and welcome applications from all communities.
Data Quality Analyst in London employer: Lioness Recruitment Ltd
Contact Detail:
Lioness Recruitment Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Quality Analyst in London
✨Tip Number 1
Network like a pro! Reach out to people in the data quality field on LinkedIn or at industry events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SQL scripts, Power BI dashboards, or any data visualisations you've done. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common data quality scenarios. Be ready to discuss how you've tackled data issues in the past and how you’d approach them in this new role.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of resources to help you land that Data Quality Analyst role, and we’re here to support you every step of the way.
We think you need these skills to ace Data Quality Analyst in London
Some tips for your application 🫡
Show Off Your SQL Skills: Make sure to highlight your SQL expertise in your application. We want to see how you've used it in past roles, so don’t hold back on those juicy details about writing scripts and querying databases!
Visualisation is Key: Since this role involves creating attractive visualisations, mention your experience with tools like Power BI or Tableau. Share examples of how you've used these tools to present data quality metrics effectively.
Talk About Data Quality: We’re keen to hear about your track record in identifying data quality issues. Include specific instances where you’ve implemented improvements or championed data governance frameworks – we love a good success story!
Apply Through Our Website: Ready to take the plunge? Make sure to apply through our website for the best chance of getting noticed. We can’t wait to see your application and hopefully welcome you to our team!
How to prepare for a job interview at Lioness Recruitment Ltd
✨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 practice writing some queries. This will show that you’re not just familiar with SQL, but that you can actually apply it effectively.
✨Showcase Your Visualisation Skills
Since the role requires strong visualisation skills, be ready to talk about your experience with Power BI or Tableau. Bring along examples of dashboards or reports you've created, and explain how they helped improve data quality or governance in your previous roles.
✨Understand Data Quality Frameworks
Familiarise yourself with data quality and governance frameworks. Be prepared to discuss any frameworks you've implemented or championed in the past. This will demonstrate your understanding of the importance of data quality and your proactive approach to improving it.
✨Prepare for Scenario Questions
Expect scenario-based questions where you might need to identify root causes of data issues. Think of specific examples from your experience where you successfully identified a problem and implemented a solution. This will highlight your analytical skills and problem-solving abilities.