Asset Data Administrator

Wakefield
1 week ago
Create job alert

Data Entry & Asset Administrator

We are looking for a detail-oriented and highly organized individual to join our client's team in a data-focused role. This position involves working with large datasets, ensuring accuracy, and supporting key processes related to asset management. The ideal candidate will have strong IT skills, particularly in Microsoft Excel, and the ability to collaborate effectively with internal teams.

Key Responsibilities:

Input and manage data accurately within internal systems.

Assist in the processing and maintenance of asset records.

Work closely with relevant teams to ensure data integrity.

Provide regular progress updates and manage workload effectively.

Skills & Experience:

Essential:

Strong attention to detail and ability to work with large datasets.

Proficiency in Microsoft Excel and other MS Office applications.

Excellent organizational and communication skills.

Ability to work flexibly in a hybrid working environment.

Desirable:

Experience with asset management systems.

Familiarity with facilities management or similar environments.

If you are a keen learner and enjoy working with data, we'd love to hear from you! Apply today to be part of a dynamic team.

Modis International Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers in the UK. Modis Europe Ltd provide a variety of international solutions that connect clients to the best talent in the world. For all positions based in Switzerland, Modis Europe Ltd works with its licensed Swiss partner Accurity GmbH to ensure that candidate applications are handled in accordance with Swiss law.

Both Modis International Ltd and Modis Europe Ltd are Equal Opportunities Employers.

By applying for this role your details will be submitted to Modis International Ltd and/ or Modis Europe Ltd. Our Candidate Privacy Information Statement which explains how we will use your information is available on the Modis website

Related Jobs

View all jobs

Yardi Systems Administration Assistant Manager

Data Support and Tech Author

IT Manager

IT Administrator

Senior Investment Manager (Edinburgh- Multiple Roles)

Service Coordinator

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.

UK Visa & Work Permits Explained: Your Essential Guide for International Data Science Talent

Data science has rapidly evolved into a driving force for businesses and organisations worldwide. In the United Kingdom, companies across sectors—including finance, retail, healthcare, tech start-ups, and government agencies—are turning to data-driven insights to boost competitiveness and innovation. Whether you specialise in statistical modelling, machine learning, or advanced analytics, data scientists are in high demand throughout the UK’s vibrant tech ecosystem. If you’re an international data scientist aiming to launch or grow your career in the UK, one essential part of the journey is navigating the country’s visa and work permit system. From understanding how to secure sponsorship as a Skilled Worker to exploring the Global Talent Visa for leading experts, this article will help you understand the most relevant routes, criteria, and practical steps for your move. Let’s delve into everything you need to know about working in data science in the UK as an international professional.

Top UK Data Science Labs and Institutes: Where Innovation Meets Opportunity

Data has become the linchpin of modern innovation. From forecasting consumer behaviour to enabling cutting-edge health research, data science underpins breakthroughs across nearly every industry. In the United Kingdom, the data science landscape is particularly robust, fuelled by a blend of academic excellence, government support, and vibrant private-sector collaborations. For jobseekers or career-changers keen to explore opportunities in this exciting field, DataScience-Jobs.co.uk offers a gateway to the latest openings, news, and resources. In this in-depth article, we’ll tour the top UK data science labs and institutes, highlight the unique research and career paths available, and outline how you can position yourself to thrive in a field that’s as dynamic as it is rewarding.

Shadowing and Mentorship in Data Science: Gaining Experience Before Your First Full-Time Role

How to Find Mentors, Build Industry Connections, and Hone the Skills Needed in a Fast-Evolving Field Introduction Over the past decade, data science has grown from a niche academic discipline to a pivotal function driving decision-making in businesses of all sizes. With an array of applications—from predictive analytics and natural language processing to recommender systems and computer vision—data science offers an enticing career path for analytically minded professionals. However, as the field expands, so too does the level of competition. Employers seek not just theoretical knowledge but also real-world experience and robust problem-solving skills. That’s where shadowing and mentorship become game-changers for early-career data scientists. These hands-on learning opportunities provide an unmatched window into the workflows, tools, and soft skills you’ll need to excel in a professional environment. Whether you’re still completing your studies, fresh out of a bootcamp, or transitioning from another career, working closely with experienced data scientists can significantly shorten your learning curve and help you stand out when applying for your first full-time position. This article explores how to find mentors who align with your goals, the best ways to engage in shadowing opportunities, and practical tips for showcasing your growth as a mentee. From clarifying the nature of data science roles to leveraging online networks, you’ll discover how to position yourself as a candidate poised to solve complex challenges and drive data-driven innovation.