Data Asset Analyst

Tiddington, Warwickshire
1 month ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Financial Modelling Analyst

Data Governance Analyst

MDM Profisee Architect

Data Engineer (Asset Management)

Asset Data Manager

15 Month Fixed Term Contract

  • Take the lead in managing and developing NFU Mutual’s Data Asset Management catalogues.

  • Stay ahead of emerging data management tools, trends, and best practices.

  • Hybrid working options with up to 80% home working

    About the role:

    Are you passionate about data governance, innovation, and driving business value through effective data management? At NFU Mutual, we’re on a mission to enhance and optimise our Information Asset catalogues, and we need a skilled professional to take the lead in managing, maintaining, and evolving our data assets.

    We have an exciting opportunity for a Data Asset Analyst to join our team on a 15-month fixed term contract. In this role you’ll play a key role in managing, maintaining, and developing our Information Asset catalogues. You’ll ensure these catalogues align with NFU Mutual’s policies and processes while supporting the business in their understanding and use of data management tools and process. You’ll support the Information Asset Management service, resolving incidents and assisting users to enhance data management capabilities and analyse, track, and report on data assets, ensuring accuracy and delivering clear, insightful reports. You’ll investigate and resolve information-related queries and issues, collaborating with internal and external stakeholders. You’ll educate and advise business stakeholders on Data Asset Management procedures, ensuring best practices are followed and continuously develop your knowledge of emerging technologies, tools, and best practices, driving improvements in data governance.

    This role offers a fantastic opportunity to shape NFU Mutual’s approach to data asset management while developing your expertise in a supportive, forward-thinking environment.

    About you:

    You have a strong foundation in data management, with hands-on experience working with data and a solid understanding of Data Asset Management and IT Service Management. Your knowledge of data classification, standards, and regulations ensures compliance and best practices in every aspect of your work. With an ITIL-driven approach, you bring adaptability, critical thinking, and a passion for continuous improvement. You’re a pragmatic and logical thinker, capable of solving complex problems efficiently while maintaining a structured and strategic mindset.

    To join our team, you must also have.

  • Excellent verbal communication skills allow you to engage confidently with stakeholders at all levels, ensuring clarity and collaboration.

  • Proven prioritisation skills, balancing multiple responsibilities while driving effective solutions that support business objectives.

    At NFU Mutual, we support an inclusive workplace and value all the differences that make us unique. We celebrate the creativity and innovation that comes from diverse perspectives and experiences and share a common vision of doing the right thing for our customers and employees.

    We recognise that some candidates may experience barriers during the recruitment process. So, we encourage candidates to discuss any adjustments or accommodations they need to be the best they can be throughout our recruitment process.

    We're proud to be a Disability Confident Employer, a Race at Work and Women in Finance Charter signatory and welcome applications from people of all backgrounds, regardless of age, ethnicity, disability, neurodiversity, gender, religion, marital status, sexual orientation, or socioeconomic background.

    Benefits and Rewards:

    When you join our team, you can expect a supportive culture and an attractive range of rewards and benefits including:

  • Salary up to £37,000 depending on experience

  • Annual bonus (up to 10% of salary)

  • Contributory pension scheme, up to 20%, including your 8% contribution

  • 25 days annual leave + bank holidays + buy/sell/save holiday trading scheme

  • A Family Friendly policy that helps you balance your work and family responsibilities

  • Access to savings at High Street brands, travel and supermarkets

  • £20 contribution to a monthly gym membership – subject to T&Cs

  • Health and wellbeing plan- cashback for dentist, opticians, physio and more

  • Access to voluntary benefits, including health assessments, private medical insurance and dental insurance

  • Employee Volunteering - volunteer in the community for one day each year

  • Unlimited access to Refer a Friend £500 bonus scheme

  • Life Assurance cover of 4 x salary

  • Employee discounts of 15% on a range of NFU Mutual insurance policies.

    Working at NFU Mutual:

    We’re one of the UK’s leading general insurance and financial services companies. For over 110 years we’ve put our customers at the heart of everything we do. Our people are just as important to us.

    We pride ourselves on being “a great place to work” and our Gallup Exceptional Workplace 2025 award was not only awarded with Distinction but also named us as the first UK-based company to receive a Gallup Exceptional Workplace for ten years in a row. We were also named in the Linked In Top 25 Companies List 2021, the Glassdoor Best Places to Work UK List 2023 and 2024, and were recognised as a certified UK Top Employer by the Top Employers Institute in 2023, 2024 and 2025.

    We offer a supportive culture where we empower and inspire our people to perform, offer them opportunities to grow, and recognise and reward their contribution. Our people are proud to work for a company that respects them and their communities, and they trust us to be financially sustainable, so we are successful now and in the future

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Quantum-Enhanced AI in Data Engineering: Reshaping the Big Data Pipeline

Data engineering has become an indispensable pillar of the modern technology ecosystem. As companies gather massive troves of data—often measured in petabytes—the importance of robust, scalable data pipelines cannot be overstated. From ingestion and storage to transformation and analysis, data engineers stand at the forefront of delivering reliable data for analytics, machine learning, and critical business decisions. Simultaneously, the field of Artificial Intelligence (AI) has undergone a revolution, transitioning from niche research projects to a foundational tool for everything from predictive maintenance and fraud detection to customer experience personalisation. Yet as AI models grow in complexity—think large language models with hundreds of billions of parameters—the data volumes and computational needs escalate dramatically. The industry finds itself at an inflection point: traditional computing systems may eventually hit performance ceilings, even when scaled horizontally with thousands of nodes. Enter quantum computing, a nascent yet rapidly progressing technology that leverages quantum mechanics to tackle certain computational tasks exponentially faster than classical machines. While quantum computing is still maturing, its potential to supercharge AI workflows—often referred to as quantum-enhanced AI—has piqued the curiosity of data engineers and enterprises alike. This synergy could solve some of the biggest headaches in data engineering: accelerating data transformations, enabling more efficient analytics, and even facilitating entirely new kinds of modelling once believed to be intractable. In this article, we explore: How data engineering has evolved to support AI’s insatiable appetite for high-quality, well-structured data. The fundamentals of quantum computing and why it may transform the data engineering landscape. Potential real-world applications for quantum-enhanced AI in data engineering—from data ingestion to machine learning pipeline optimisation. Emerging career paths and skill sets needed to thrive in a future where data, AI, and quantum computing intersect. Challenges, ethical considerations, and forward-looking perspectives on how this convergence might shape the data engineering domain. If you work in data engineering, are curious about quantum computing, or simply want to stay on the cutting edge of technology, read on. The next frontier of data-driven innovation may well be quantum-powered.

Data Engineering Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Data. It’s the critical lifeblood of every forward-thinking organisation, fueling everything from strategic decision-making to real-time analytics. As data volumes skyrocket and technologies mature, the UK has distinguished itself as a frontrunner in data innovation. A robust venture capital scene, government-backed initiatives, and a wealth of academic talent have created fertile ground for data-centric start-ups across the country. In this Q3 2025 Investment Tracker, we’ll delve into the newly funded UK start-ups shaping the future of data engineering. More importantly, we’ll explore the rich job opportunities that have emerged alongside these funding announcements. From building scalable ETL (Extract, Transform, Load) pipelines to architecting data warehouses and implementing advanced data governance frameworks, data engineers, architects, and analysts have an incredible array of roles to pursue. If you’re eager to elevate your career in data engineering, read on for insights into the most dynamic start-ups, their fresh capital injections, and the skill sets they’re hungry for.

Portfolio Projects That Get You Hired for Data Engineering Jobs (With Real GitHub Examples)

Data is increasingly the lifeblood of businesses, driving everything from product development to customer experience. At the centre of this revolution are data engineers—professionals responsible for building robust data pipelines, architecting scalable storage solutions, and preparing data for analytics and machine learning. If you’re looking to land a role in this exciting and high-demand field, a strong CV is only part of the puzzle. You also need a compelling data engineering portfolio that shows you can roll up your sleeves and deliver real-world results. In this guide, we’ll cover: Why a data engineering portfolio is crucial for standing out in the job market. Choosing the right projects for your target data engineering roles. Real GitHub examples that demonstrate best practices in data pipeline creation, cloud deployments, and more. Actionable project ideas you can start right now, from building ETL pipelines to implementing real-time streaming solutions. Best practices for structuring your GitHub repositories and showcasing your work effectively. By the end, you’ll know exactly how to build and present a portfolio that resonates with hiring managers—and when you’re ready to take the next step, don’t forget to upload your CV on DataEngineeringJobs.co.uk. Our platform connects top data engineering talent with companies that need your skills, ensuring your portfolio gets the attention it deserves.