At a Glance
- Tasks: Lead data quality initiatives and ensure accuracy of critical datasets.
- Company: One of the largest Public Sector Organisations in the UK.
- Benefits: Competitive salary, job security, and opportunities for professional growth.
- Why this job: Play a key role in enhancing global supply chain intelligence.
- Qualifications: Active SC clearance and strong data management skills.
- Other info: Join a dynamic team with a focus on impactful projects.
The predicted salary is between 48000 - 72000 £ per year.
Your new company: One of the largest Public Sector Organisations in the UK managing trade.
Your new role: Data Quality Lead - Active SC Clearance.
What you’ll need to succeed:
- Role Overview: We are seeking a strategic and technically proficient Data Quality Lead to oversee the ingestion, evaluation, and quality assurance of critical datasets supporting the Global Supply Chains Intelligence Programme (GSCI).
Data Quality Lead - Active SC Clearance in London employer: Hays
Contact Detail:
Hays Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Quality Lead - Active SC Clearance in London
✨Tip Number 1
Network like a pro! Reach out to people in your industry, especially those already working in public sector organisations. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Prepare for interviews by researching the company and its projects. Knowing about their Global Supply Chains Intelligence Programme will show you're genuinely interested and ready to contribute.
✨Tip Number 3
Practice your responses to common interview questions, especially around data quality and assurance. We want you to feel confident and articulate when discussing your skills and experiences.
✨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, we love seeing candidates who take that extra step!
We think you need these skills to ace Data Quality Lead - Active SC Clearance in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Quality Lead role. Highlight your relevant experience and skills that align with the job description. We want to see how you can contribute to our mission!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for the role and how your background aligns with our needs. Keep it engaging and personal, so we get a sense of who you are.
Showcase Your Technical Skills: Since this role requires technical proficiency, don’t forget to showcase your data quality assurance skills. Mention specific tools or methodologies you’ve used in the past that would be beneficial for the position.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Hays
✨Know Your Data Inside Out
As a Data Quality Lead, you’ll need to demonstrate your understanding of data management and quality assurance. Brush up on key concepts related to data ingestion and evaluation, and be ready to discuss specific examples from your past experience that showcase your technical proficiency.
✨Showcase Your Strategic Thinking
This role requires a strategic mindset. Prepare to discuss how you've approached data quality challenges in the past. Think about how you can align data strategies with broader organisational goals, especially in the context of public sector operations.
✨Familiarise Yourself with GSCI
Since this position supports the Global Supply Chains Intelligence Programme, do some research on GSCI. Understand its objectives and how data quality plays a crucial role in its success. This will show your genuine interest and help you answer questions more effectively.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills. Think of situations where you had to ensure data integrity under pressure. Be ready to explain your thought process and the steps you took to resolve issues, as this will highlight your capability as a Data Quality Lead.