At a Glance
- Tasks: Lead data quality operations and enhance governance processes for impactful insights.
- Company: Join Martin-Brower, a leader in supply chain data excellence.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Collaborative environment with global teams and excellent career advancement potential.
- Why this job: Make a real difference in data integrity and drive innovative solutions.
- 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
About Us: At Martin-Brower, Supply Chain Information Systems (SCIS), we are dedicated to transforming the supply chain ecosystem through data excellence. Our commitment to quality and integrity drives our mission to connect businesses with the logistics they need, sustainably and effectively. We leverage innovative data management practices to ensure our clients operate seamlessly across global markets. Join us in promoting a future of cutting‑edge solutions built on clean, reliable data.
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).
What You'll Do:
- Lead Data Quality Operations: 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.
- Implement Embedded Data Governance: 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.
- Enhance Stakeholder Communication: 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: Possess strong analytical skills and keen eye for detail, enabling diagnosis of root causes and sustainable prevention methods.
- Effective Communicator: Written and verbal communication skills to bridge technical complexities and business concerns.
- Self‑Starter: Comfortable navigating ambiguity and managing projects independently, driving initiatives forward while aligning with strategic objectives.
- Collaborative Team Player: Thrive in cross‑functional environments, partnering with diverse teams across time zones to achieve shared goals.
- Passionate about Data Quality: Background in data governance or quality management with commitment to delivering exceptional results and making 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 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 in England employer: Martin Brower UK and Ireland
At Martin-Brower, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of Hemel Hempstead. Our commitment to employee growth is reflected in our comprehensive training programmes and opportunities for career advancement, ensuring that you can thrive in your role as a Global Data Quality & Governance Analyst. Join us to be part of a forward-thinking team dedicated to data excellence, where your contributions will directly impact our mission of sustainable supply chain solutions.
Contact Detail:
Martin Brower UK and Ireland Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land SCIS Data Quality and Governance Analyst in England
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by researching the company and its data governance practices. Be ready to discuss how your skills align with their mission of data excellence. Show them you’re not just another candidate!
✨Tip Number 3
Practice your communication skills! Being able to simplify complex data issues into relatable terms is key. Try explaining your past projects to friends or family to get comfortable with this.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about joining our team.
We think you need these skills to ace SCIS Data Quality and Governance Analyst in England
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Global Data Quality & Governance Analyst. Highlight your experience in data quality management and governance, and don’t forget to sprinkle in some examples that show off your analytical skills and attention to detail.
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 mission at Martin-Brower. Keep it concise but impactful, and make sure to mention any relevant projects or achievements.
Showcase Your Communication Skills:Since this role involves simplifying complex data issues for stakeholders, it’s crucial to demonstrate your written communication skills. Use clear, straightforward language in your application materials to show us you can bridge the gap between technical details and business needs.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications better and ensures you get all the updates directly from us. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Martin Brower UK and Ireland
✨Know Your Data Inside Out
Make sure you brush up on your knowledge of data quality management and governance. Familiarise yourself with common data integrity issues and be ready to discuss how you've tackled similar challenges in the past. This will show that you're not just a theoretical expert but someone who can apply their knowledge practically.
✨Prepare for Scenario Questions
Expect questions that ask you to solve hypothetical data quality problems or to describe how you would implement a data governance framework. Think through some scenarios beforehand and prepare structured responses that highlight your analytical thinking and problem-solving skills.
✨Communicate Clearly and Effectively
Since the role involves simplifying complex data issues for stakeholders, practice explaining technical concepts in layman's terms. Use examples from your previous experience to demonstrate how you’ve successfully communicated data challenges and solutions to non-technical audiences.
✨Show Your Collaborative Spirit
This position requires working with cross-functional teams, so be ready to share examples of how you've collaborated with others in the past. Highlight your ability to navigate different perspectives and drive initiatives forward, especially in a global context.
