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 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. With a focus on data excellence and sustainability, we provide a unique environment where your contributions directly impact our mission to enhance supply chain operations globally.
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
✨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. 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 their job search.
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 any relevant projects that demonstrate your analytical skills.
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 address how you can contribute to our goals.
Showcase Your Communication Skills:Since effective communication is key for this role, make sure your application reflects your ability to simplify complex data issues. Use clear language and structure your application well to demonstrate your written communication prowess.
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 ensures you’re considered for the role. Plus, you’ll get to see more about our company culture!
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 data quality management knowledge. Understand the key concepts of data governance and be ready to discuss how you've applied these in past roles. Familiarise yourself with common data integrity issues and think about how you would tackle them.
✨Prepare for Scenario Questions
Expect questions that ask you to solve hypothetical data quality problems. Prepare by thinking through real-life examples where you've identified and resolved data issues. Use the STAR method (Situation, Task, Action, Result) to structure your answers clearly.
✨Show Off Your Communication Skills
Since this role involves simplifying complex data challenges for stakeholders, practice explaining technical concepts in layman's terms. Be ready to demonstrate how you've effectively communicated data risks and solutions to non-technical audiences in the past.
✨Emphasise Collaboration Experience
This position requires working with cross-functional teams, so highlight your experience in collaborative projects. Think of examples where you've partnered with diverse teams to achieve a common goal, especially in a global context, and be prepared to share those stories.
