At a Glance
- Tasks: Drive data quality initiatives and collaborate with teams to enhance data integrity.
- Company: Join a global leader in data governance and quality management.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Work with diverse teams across time zones and tackle complex data challenges.
- Why this job: Make a real impact on data quality and governance in a dynamic environment.
- Qualifications: Degree in relevant field and experience in data quality management.
The predicted salary is between 40556 - 50696 € per year.
Location: Hemel Hempstead
Employment Type: Full-time/Hybrid
Salary: £40,556.62 - £50,695.78
Position Summary: We are seeking a meticulous Global Data Quality & Governance Analyst to strengthen our Global Data Quality Operations. In this pivotal role, you will operationalise our Global Data Governance Framework, proactively establishing processes that reinforce data integrity and prevent critical business issues. Your expertise will help us create standardised data quality management capabilities that deliver actionable insights for financial planning, reporting, and strategic initiatives across our supply chain information systems (SCIS).
Responsibilities:
- Drive global resolution and prevention of critical data quality issues impacting financial consolidations and reporting.
- Design and maintain automated validation and monitoring processes that identify data integrity risks early on.
- Collaborate with cross‑functional teams to resolve root cause data quality issues and implement preventive measures.
- Integrate data quality governance into project management, assess risks, and ensure quality controls are proactively embedded in new processes.
- Conduct change impact assessments to pinpoint potential integrity risks prior to implementation.
- Collaborate closely with project teams to develop clear data quality requirements and validation criteria.
- Simplify complex technical data quality challenges into actionable, business‑focused risk narratives for supply chain leadership and stakeholders.
- Partner with global teams to define governance protocols, ensuring compliance and proactive management of data integrity.
- Facilitate resolution of systemic data quality issues through effective stakeholder alignment and ownership.
Who You Are:
- Analytical Thinker – You possess strong analytical skills and a keen eye for detail, enabling you to diagnose root causes of issues and design sustainable prevention methods.
- Effective Communicator – Your written and verbal communication skills help you bridge the gap between technical complexities and business concerns, making you proficient in articulating risk narratives to non‑technical stakeholders.
- Self‑Starter – Comfortable navigating ambiguity and managing projects independently, you enjoy driving initiatives forward while aligning with strategic objectives.
- Collaborative Team Player – You thrive in cross‑functional environments, partnering with diverse teams across time zones to achieve shared goals.
- Passionate about Data Quality – With a background in data governance or quality management, you are committed to delivering exceptional results and making a meaningful impact on data integrity.
Required Skills and Experience:
- Bachelor’s degree in Information Systems, Data Management, Business Analytics, a related field or equivalent experience.
- Strong relevant experience in data quality management, governance, or master data management.
- Proven experience in building data validation frameworks and quality monitoring systems.
- Ability to translate technical issues into business risk language for diverse audiences.
- Familiarity with global market dynamics and the flexibility to work across time zones.
Preferred Skills and Experience:
- Experience in supply chain, logistics, or sustainability data management.
- Knowledge of Master Data Management (MDM) platforms and enterprise data architecture.
- Proven success in implementing data governance frameworks at scale.
SCIS Data Quality and Governance Analyst Information Technology and Technical Support Hemel Hem[...] in Hemel Hempstead employer: The Martin-Brower Company, L.L.C.
At our Hemel Hempstead location, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to excel in their roles. As a Global Data Quality & Governance Analyst, you will benefit from a hybrid working model, competitive salary, and opportunities for professional growth within a supportive environment that values data integrity and strategic impact. Join us to make a meaningful contribution while enjoying the unique advantages of working in a dynamic team dedicated to excellence in data governance.
Contact Detail:
The Martin-Brower Company, L.L.C. Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land SCIS Data Quality and Governance Analyst Information Technology and Technical Support Hemel Hem[...] in Hemel Hempstead
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at local meetups. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Prepare for interviews by researching the company and its data governance practices. Show them you’re not just another candidate; you’re genuinely interested in how they operate and how you can contribute.
✨Tip Number 3
Practice your storytelling skills! Be ready to share specific examples of how you’ve tackled data quality issues in the past. This will help you connect your experience to their needs.
✨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 are proactive about their job search.
We think you need these skills to ace SCIS Data Quality and Governance Analyst Information Technology and Technical Support Hemel Hem[...] in Hemel Hempstead
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the job description. Highlight your experience in data quality management and governance, and don’t forget to showcase your analytical skills. We want to see how you can bring value to our team!
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 your background aligns with our needs. Keep it concise but impactful – we love a good story that connects your experience to our mission.
Showcase Your Communication Skills:Since you'll be bridging technical complexities with business concerns, make sure your application reflects your communication prowess. Use clear language and avoid jargon where possible. We appreciate candidates who can articulate their thoughts effectively!
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’re considered for the role. Plus, it’s super easy – just follow the prompts and let us know why you’d be a great fit!
How to prepare for a job interview at The Martin-Brower Company, L.L.C.
✨Know Your Data Inside Out
Make sure you brush up on data quality management principles and the specific frameworks mentioned in the job description. Be ready to discuss how you've tackled data integrity issues in the past and how you can apply that experience to their operations.
✨Speak Their Language
Since the role involves translating technical issues into business risk narratives, practice articulating complex data challenges in simple terms. Use examples from your previous work to demonstrate your ability to communicate effectively with non-technical stakeholders.
✨Show Your Collaborative Spirit
This position requires working with cross-functional teams, so be prepared to share examples of how you've successfully collaborated in diverse environments. Highlight any experiences where you’ve driven initiatives forward while aligning with strategic objectives.
✨Prepare for Scenario Questions
Expect questions that assess your analytical thinking and problem-solving skills. Think of scenarios where you've identified root causes of data quality issues and the steps you took to resolve them. This will showcase your proactive approach and attention to detail.
