SCIS Data Quality and Governance Analyst

SCIS Data Quality and Governance Analyst

Full-Time 40556 - 50696 € / year (est.) Home office (partial)
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At a Glance

  • Tasks: Ensure data integrity and resolve critical data quality issues across global operations.
  • Company: Join a leading firm focused on data governance and quality management.
  • Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
  • Other info: Collaborative culture with a focus on cross-functional teamwork and innovation.
  • 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 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

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 employer: Martin Brower

Join a forward-thinking organisation in Hemel Hempstead that prioritises data integrity and governance, offering a collaborative and dynamic work environment. As a Global Data Quality & Governance Analyst, you will benefit from a hybrid working model, competitive salary, and opportunities for professional growth while contributing to impactful projects that shape the future of our supply chain information systems. Our commitment to employee development and a culture of innovation makes us an exceptional employer for those passionate about data quality.

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Contact Detail:

Martin Brower 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 your industry on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.

Tip Number 2

Prepare for interviews by practising common questions and scenarios related to data quality and governance. We recommend doing mock interviews with friends or using online platforms to get comfortable with articulating your skills.

Tip Number 3

Showcase your passion for data quality! During interviews, share specific examples of how you've tackled data integrity issues in the past. We want to see your analytical thinking in action!

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. 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

Data Quality Management
Data Governance
Analytical Skills
Attention to Detail
Automated Validation Processes
Root Cause Analysis
Project Management

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 effective communication is key for this role, make sure your application reflects your ability to simplify complex ideas. Use clear language and structure your thoughts well. We want to see how 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 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 Martin Brower

Know Your Data Inside Out

Make sure you brush up on your knowledge of data quality management and governance. Be prepared to discuss specific frameworks you've worked with and how you've tackled data integrity issues in the past. This will show that you’re not just familiar with the concepts, but that you can apply them effectively.

Communicate Clearly and Confidently

Since this role requires translating technical jargon into business language, practice articulating complex data issues in simple terms. Use examples from your experience where you successfully communicated risks to non-technical stakeholders. This will demonstrate your effective communication skills.

Show Your Analytical Skills

Prepare to showcase your analytical thinking by discussing past projects where you identified root causes of data quality issues. Bring along any metrics or outcomes that highlight your problem-solving abilities. This will help us see how you approach challenges and develop sustainable solutions.

Emphasise Collaboration

This position involves working with cross-functional teams, so be ready to share examples of how you've collaborated with diverse groups. Highlight any experiences where you facilitated stakeholder alignment or resolved systemic issues, as this will illustrate your ability to work well in a team environment.