National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Asset Data Officer

Warwick
4 weeks ago
Create job alert

Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive.

Are you ready to take your data management skills to the next level? Our client, a leading organisation in the utilities industry, is seeking a dedicated and detail-oriented Asset Data Officer for a temporary contract of 6 months. This is an exciting opportunity for a data enthusiast to contribute to vital asset management initiatives while collaborating with a dynamic team!

Role: Asset Data Officer

Duration: 6 Months (extension options)

Location: Warwick (Hybrid 3 days in Office)

Rate: £37,000 - £40,000 PAYE

What You'll Do:
As an Asset Data Officer, you will play a pivotal role in managing and analysing asset information. Your responsibilities will include:

Data Management:Collect, organise, and maintain comprehensive records of asset information, ensuring everything is up-to-date and accurate.
Data Analysis:Dive deep into asset data to identify trends, discrepancies, and opportunities for optimisation, helping the organisation make informed decisions.
Reporting:Generate detailed reports on asset status, usage, and performance for stakeholders, providing valuable insights that drive action.
Data Integrity:Conduct regular audits and updates to ensure the quality and consistency of asset data, protecting the organisation's valuable information.
Collaboration:Work closely with other departments to support asset management initiatives and resolve any data-related issues, fostering teamwork and efficiency.

What We're Looking For:
To thrive in this role, you should possess the following qualifications:

Prior experience in data management, analysis, and reporting, preferably in asset management.
Proficiency in data management software, particularly SQL and MS Office (with a strong focus on Excel & Word).
A strong ability to analyse complex data sets and generate actionable insights that can influence strategic decisions.
A high level of accuracy and a detail-oriented approach to data management, ensuring nothing slips through the cracks.
Excellent verbal and written communication skills, enabling you to present data findings clearly and effectively.
Effective problem-solving skills to address data-related issues and improve processes proactively.

Why Join Us?
This is not just another job; it's a chance to make a real impact in the utilities sector! You will be part of a vibrant team that values collaboration and innovation. Plus, you'll gain valuable experience that can propel your career forward.

If you're excited about the prospect of working with data in a meaningful way and are ready to embrace this challenge, we want to hear from you! Apply today and become an integral part of our client's asset management journey. Together, let's optimise and enhance the future of utilities!

Candidates will ideally show evidence of the above in their CV to be considered.

Please be advised if you haven't heard from us within 48 hours then unfortunately your application has not been successful on this occasion, we may however keep your details on file for any suitable future vacancies and contact you accordingly

Related Jobs

View all jobs

Asset Data Quality Officer

Senior Data Analyst

Asset Data Analyst

Data Entry And Quality Control (Admin and Clerical)

Data Quality Specialist

Data Quality Specialist

National AI Awards 2025

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.

LinkedIn Profile Checklist for Data Science Jobs: 10 Tweaks to Elevate Recruiter Engagement

Data science recruiters often sift through dozens of profiles to find candidates skilled in Python, machine learning, statistical modelling and data visualisation—sometimes before roles even open. A generic LinkedIn profile won’t suffice in this data-driven era. This step-by-step LinkedIn for data science jobs checklist outlines ten targeted tweaks to elevate recruiter engagement. Whether you’re an aspiring junior data scientist, a specialist in MLOps, or a seasoned analytics leader, these optimisations will sharpen your profile’s search relevance and demonstrate your analytical impact.

Part-Time Study Routes That Lead to Data Science Jobs: Evening Courses, Bootcamps & Online Masters

Data science sits at the intersection of statistics, programming and domain expertise—unearthing insights that drive business decisions, product innovation and research breakthroughs. In the UK, organisations from fintech and healthcare to retail and public sector are investing heavily in data-driven strategies, fuelling unprecedented demand for data scientists, machine learning engineers and analytics consultants. According to recent projections, data science roles will grow by over 40% in the next five years, offering lucrative salaries and varied career paths. Yet many professionals hesitate to leave their current jobs or pause personal commitments for full-time study. The good news? A vibrant ecosystem of part-time learning routes—Evening Courses, Intensive Bootcamps and Flexible Online Master’s Programmes—empowers you to learn data science while working. This comprehensive guide explores every pathway: foundational CPD units and short courses, hands-on bootcamps, accredited online MScs, plus funding options, planning strategies and a real-world case study. Whether you’re an analyst looking to formalise your skills, a software developer pivoting into data or a manager seeking to harness data-driven decision-making, you’ll find the right route to fit your schedule, budget and career goals.

The Ultimate Assessment-Centre Survival Guide for Data Science Jobs in the UK

Assessment centres for data science positions in the UK are designed to replicate the multifaceted challenges of real-world analytics teams. Employers combine psychometric assessments, coding tests, statistical reasoning exercises, group case studies and behavioural interviews to see how you interpret data, build models, communicate insights and collaborate under pressure. Whether you’re specialising in predictive modelling, NLP or computer vision, this guide provides a step-by-step roadmap to excel at every stage and secure your next data science role.