Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Governance & Master Analyst

Nomad Foods
Woking
1 month ago
Applications closed

Related Jobs

View all jobs

Data Governance Analyst

Data Governance Analyst

Senior Data Governance Analyst

Lead Data Engineer

Data Architect

Data Architect

About the role

Data Governance & Master Analyst reporting to the Data & Analytics Director. You will help establish a new Data Governance service across Nomad Foods, ensuring data is secure, accurate, timely and consistent. Stakeholder management is key; you will liaise with Data Stewards, Owners and business partners to manage master data and support organisational data quality initiatives.


Key responsibilities

  • Assist in establishing a data governance framework.
  • Prepare the Data Governance Board on a regular basis.
  • Monitor & action data quality measures following implementation of a Data Quality tool.
  • Work with Data Owners and Data Stewards to manage data.
  • Implement & monitor data controls, including data export.
  • Centralise & manage data definitions.
  • Define Data Policies & Standards, covering data storage, retention and unstructured data.
  • Support the development & rollout of a Data Literacy programme.
  • Monitor and ensure compliance with policies.
  • Partner with business & third‑party stakeholders on data security & compliance requirements.

About you – qualifications

  • Experience working in a data team.
  • Experience working with SAP.
  • Strong written and verbal communication skills.
  • Strong numerical and analytical skills.
  • Collaborative and able to challenge constructively, gaining stakeholder support and delivering results through others.
  • Problem‑solving: able to identify root causes and pursue effective solutions, asking the right questions and driving completion.

What we can offer you

We are on an exceptional adventure, offering a purpose‑led career with personal growth opportunities across the Nomad Foods Group.



  • Ambitious employer with recognised brands and growth potential.
  • Culture that empowers employees to make a difference.
  • Career progression across different areas of the Nomad Foods Group.
  • Competitive salary, car allowance and excellent bonus structure.

Who we are

Headquartered in the UK, Nomad Foods is Europe's leading frozen‑food company, generating €3.2 billion in revenue across 22 markets. Founded eight years ago, we own iconic brands such as Bird’s Eye, Findus, Iglo, Ledo and Frikom. Guided by our purpose – Serving the World with Better Food – we commit to delivering exceptional taste, nutrition, convenience and affordability while positively impacting performance, people and the planet.


#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jobs

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Jobs

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Jobs

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.