At a Glance
- Tasks: Lead data quality operations and enhance governance processes for impactful data management.
- Company: Join Martin-Brower, a leader in transforming supply chain ecosystems through data excellence.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Collaborative culture with global teams and excellent career advancement opportunities.
- Why this job: Make a real impact on data integrity and drive innovative solutions in a dynamic environment.
- Qualifications: Degree in Information Systems or related field; experience in data quality management required.
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 Hemel Hempstead 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 and sustainable supply chain solutions, where your contributions will make a meaningful impact.
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 Hemel Hempstead
✨Tip Number 1
Network like a pro! Reach out to people 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 and how you can contribute to their goals.
✨Tip Number 3
Showcase your analytical skills during interviews. Bring examples of how you've tackled data quality issues in the past and be prepared to explain your thought process in a way that resonates with both technical and non-technical audiences.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining our team at Martin-Brower.
We think you need these skills to ace SCIS Data Quality and Governance Analyst 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 any relevant projects you've worked on that align with our mission at Martin-Brower.
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 skills can help us transform the supply chain ecosystem. Keep it concise but impactful!
Showcase Your Analytical Skills:Since we're looking for an analytical thinker, make sure to include examples of how you've diagnosed root causes of data issues in the past. We want to see your problem-solving prowess in action!
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 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 the specific frameworks and practices mentioned in the job description. Being able to discuss how you've applied these concepts in past roles will show that you're not just a theoretical expert but someone who can bring real-world experience to the table.
✨Prepare for Technical Questions
Expect to face questions that dive deep into data validation frameworks and monitoring systems. Prepare examples from your previous work where you successfully identified and resolved data integrity issues. This will demonstrate your analytical skills and ability to translate technical challenges into business solutions.
✨Showcase Your Communication Skills
Since the role requires simplifying complex data issues for stakeholders, practice explaining technical concepts in layman's terms. You might be asked to present a scenario where you had to communicate a data quality issue to a non-technical audience, so have a few examples ready that highlight your effective communication style.
✨Emphasise Collaboration Experience
This position involves working with cross-functional teams, so be prepared to discuss your experience in collaborative environments. Share specific instances where you partnered with diverse teams to tackle data quality challenges, and highlight how you ensured alignment and ownership among stakeholders.
