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

Nominate & Attend

Maintenance Administrator and Data Analyst

List Recruitment Limited
Lincolnshire
2 weeks ago
Create job alert

Position Overview

Providing Data Analyst & Administrative Support is a vital part of the Maintenance Business Team, supporting both operational efficiency and strategic decision-making. This position combines strong analytical capabilities with essential administrative responsibilities, providing cross-functional support to enable data-driven improvements and seamless daily operations.

This is a contract role for a minimum term of 12 months, offering an excellent working environment for the successful candidate, there are flexible and compressed working hours available


Primary Responsibilities and accountabilities

General Responsibilities 

Collaborate across teams and contribute to analytical processes with a proactive, solution-oriented mindset. Design, manage, and continuously improve Power BI metrics to optimize Routine Maintenance performance.


Data Analyst Responsibilities 
Work closely with the Maintenance Business Team to understand challenges, identify digitalization opportunities, and recommend process enhancements. Conduct comprehensive data analysis, including data collection, cleansing, validation, and quality assurance, to uncover insights and support decision-making. Develop, maintain, and automate Power BI reports and dashboards using data from multiple sources, including SAP. Manage recurring reports and fulfil ad-hoc data requests, while staying current with trends and best practices in data analytics and AI applications. Administrative Responsibilities 
Provide cross-functional administrative support to the Business Support Team and other departments as required. Manage procurement-related activities in SAP, including material requisitions and inventory tracking. Support the maintenance of technical documentation and ensure it remains accurate and up to date. Perform various SAP administration tasks, such as project portfolio management (PPM) changes, backlog updates, and data housekeeping.
Required Skills & Qualifications 
Strong communication and interpersonal skills, with the ability to engage confidently across all levels of the organization. Excellent organizational and multitasking abilities; capable of working under pressure and meeting tight deadlines. Demonstrated experience with data modelling, cleansing, and enrichment techniques. Proficiency in Microsoft 365 applications. Strong working knowledge of Power BI, including visualizing and presenting complex data clearly and effectively. Preferred: Experience with SAP systems. Self-motivated with the ability to work independently and collaboratively. Adaptable and open to change, with a continuous improvement mindset. Professional and confident when interacting with suppliers, vendors, and internal stakeholders. Proactive, holistic approach to identifying and resolving problems.

Related Jobs

View all jobs

Maintenance Administrator and Data Analyst

Administrator and Data Analyst

Administrator and Data Analyst

Maintenance Administrator & Data Analyst

Salesforce Administrator/ Data Analyst

Deputy Head of Data Engineering

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.

How to Present Machine Learning Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

Machine learning is driving change across nearly every industry—from retail and finance to health and logistics. But while the technology continues to evolve rapidly, the ability to communicate it clearly has become just as important as building the models themselves. Whether you're applying for a junior ML engineer role, a research position, or a client-facing AI consultant job, UK employers increasingly expect candidates to explain complex machine learning solutions to non-technical audiences. In this guide, you’ll learn how to confidently present your work, structure your message, use simple visuals, and explain the real-world value of machine learning in a way that makes sense to people without a background in data science.

Machine Learning Jobs UK 2025: 50 Companies Hiring Now

Bookmark this page—we refresh the Hotlist every quarter so you always know who’s really scaling their ML teams. The UK’s National AI Strategy, a £2 billion GenAI accelerator fund and a record flow of private capital have kicked ML hiring into overdrive for 2025. Whether you build production‑grade LLM services or optimise on‑device models for edge hardware, employers need your skills now. Below you’ll find 50 organisations that advertised UK‑based machine‑learning vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the type of employer—and mission—that excites you. For each company we list: Main UK hub Example live or recent vacancy Why it’s worth a look (stack, impact, culture) Search any employer on MachineLearningJobs.co.uk to see real‑time adverts, or set a free alert so fresh openings drop straight in your inbox.

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.