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 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).
Responsibilities:
- 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: 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.
Qualifications 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 employer: Reyes Beverage Group
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.
StudySmarter Expert Advice🤫
We think this is how you could land SCIS Data Quality and Governance Analyst
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend events, and connect with people 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, but someone who truly gets what they do!
✨Tip Number 3
Practice your storytelling skills! When discussing your experience, frame it in a way that highlights your analytical thinking and problem-solving abilities. Make it relatable to the challenges they face in data quality and governance.
✨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 take the initiative to engage directly with us.
We think you need these skills to ace SCIS Data Quality and Governance Analyst
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Global Data Quality & Governance Analyst. Highlight your experience in data quality management and governance, and don’t forget to showcase 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!
Showcase Your Communication Skills:Since effective communication is key for this role, make sure to demonstrate your ability to simplify complex data issues in your application. Use clear language and examples that show how you can bridge the gap between technical and business perspectives.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and ensure it gets the attention it deserves!
How to prepare for a job interview at Reyes Beverage Group
✨Know Your Data Inside Out
Before the interview, dive deep into data quality management and governance concepts. Familiarise yourself with common challenges in the field, especially those related to financial reporting and supply chain systems. This will help you speak confidently about how you can tackle these issues.
✨Showcase Your Analytical Skills
Prepare examples from your past experiences where you've successfully identified and resolved data quality issues. Be ready to discuss the analytical methods you used and how they led to improved data integrity. This will demonstrate your problem-solving abilities and attention to detail.
✨Communicate Clearly and Effectively
Practice explaining complex data concepts in simple terms. Since the role involves communicating with non-technical stakeholders, being able to articulate your thoughts clearly will set you apart. Consider using real-world scenarios to illustrate your points during the interview.
✨Emphasise Collaboration
Highlight your experience working in cross-functional teams. Share specific instances where you collaborated with others to resolve data quality issues or implement governance frameworks. This will show that you’re not just a lone wolf but a team player who values collective success.
