At a Glance
- Tasks: Investigate and resolve data issues, ensuring accuracy and reliability across the business.
- Company: Join a global organisation transforming its data management practices.
- Benefits: Competitive salary, benefits, and opportunities for professional growth.
- Other info: Collaborative role with excellent career advancement potential.
- Why this job: Make a real impact on data quality in a dynamic, international environment.
- Qualifications: Curiosity, analytical skills, and experience in data quality or governance.
The predicted salary is between 45000 - 50000 £ per year.
Location: Hertfordshire x3 days per week
Salary: £45,000 - £50,000 Basic Salary + benefits
Company
We’re working with a global organisation going through a major transformation in how it manages and uses data across its international operations. With teams across North America, Europe, and beyond, the business is investing heavily in building clean, reliable, and scalable data foundations that support everything from reporting and planning to long-term strategic decisions.
The Role
This is a problem-solving, system-building role focused on making sure data is accurate, consistent, and trusted across the business. You’ll work across teams to identify where data breaks down, understand why it happens, and put solutions in place to fix it and more importantly, stop it happening again. You’ll also play a key role in embedding better ways of working into projects, ensuring data quality is considered from the start rather than fixed later.
What you’ll be doing:
- Investigating and resolving data issues that impact reporting and business decisions.
- Identifying root causes of recurring data problems and putting preventative controls in place.
- Working with technical teams and business users to improve how data flows across systems.
- Helping project teams think about data quality upfront, not as an afterthought.
- Turning complex data issues into clear, business-friendly explanations.
- Tracking trends and patterns to continuously improve data accuracy and reliability.
The Person Required
We’re looking for someone who enjoys solving problems, asking questions, and getting to the root of issues, not just working around them. You don’t need to know everything on day one, but you should be curious, analytical, and comfortable working across different teams to make things better.
You’ll likely have:
- Experience working with data quality, data governance, or data management.
- Strong analytical skills and the ability to spot patterns and diagnose issues.
- Experience investigating problems and identifying root causes.
- The ability to explain technical issues in a simple, business-friendly way.
- Confidence working with both technical teams and non-technical stakeholders.
- Exposure to systems, data platforms, or operational data flows.
This is an opportunity to step into a role where you’ll have real impact on how a global business operates.
Data Quality Analyst - Global Transformation employer: ECW Search
As a leading global consumer brand based in London, we pride ourselves on fostering a dynamic and inclusive work culture that empowers our employees to excel. With a strong focus on professional development and growth opportunities, we offer a collaborative environment where innovative ideas are encouraged and rewarded. Join us to be part of a high-impact leadership team dedicated to driving transformation and achieving profitable growth across the EMEA region.
StudySmarter Expert Advice🤫
We think this is how you could land Data Quality Analyst - Global Transformation
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by practising common questions related to data quality and problem-solving. We recommend using the STAR method (Situation, Task, Action, Result) to structure your answers and showcase your analytical skills.
✨Tip Number 3
Showcase your curiosity! During interviews, ask insightful questions about the company’s data challenges and how they approach data quality. This not only demonstrates your interest but also positions you as someone who thinks critically about the role.
✨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 are proactive and engaged with our brand.
We think you need these skills to ace Data Quality Analyst - Global Transformation
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Data Quality Analyst. Highlight your experience with data quality, governance, and any relevant analytical skills. We want to see how your background aligns with our needs!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data quality and how you can contribute to our global transformation. Keep it engaging and personal – we love a good story!
Showcase Problem-Solving Skills:In your application, give examples of how you've tackled data issues in the past. We’re looking for someone who digs deep to find root causes, so share those experiences that demonstrate your analytical prowess.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at ECW Search
✨Know Your Data
Before the interview, brush up on your knowledge of data quality and governance. Familiarise yourself with common data issues and solutions, as well as any relevant tools or methodologies. This will help you speak confidently about your experience and how it relates to the role.
✨Show Your Problem-Solving Skills
Prepare examples of past experiences where you've identified and resolved data issues. Be ready to explain your thought process and the steps you took to get to the root cause. This will demonstrate your analytical skills and your ability to tackle complex problems.
✨Communicate Clearly
Practice explaining technical concepts in simple terms. Since the role involves working with both technical teams and non-technical stakeholders, being able to communicate effectively is key. Think of examples where you've successfully translated complex data issues into business-friendly language.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data management practices and the challenges they face. This shows your genuine interest in the role and helps you understand how you can contribute to their transformation efforts. It also gives you a chance to assess if the company is the right fit for you.
