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

Nominate & Attend

Utility Data Analyst

Red Door Recruitment
St Albans
3 weeks ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Lead Data Scientist[975963]

Data Scientist

Data Scientist

Scada Engineer

Head of Data Engineering

We are currently recruiting for an analytical and highly numerate candidate with an excellent attention to detail to join a fast-growing, exciting company based in central St Albans. They operate in modern open plan offices with free parking!

You will lead the resolution of utility invoice discrepancies and ensure the accuracy of utility data across systems.

The role involves working closely with utility suppliers and internal teams to investigate billing issues, maintain strong supplier relationships, and ensure data integrity for accurate reporting and invoice approval.

This role would suit a detail-oriented, tenacious individual with a strong track record of seeing tasks through to resolution.

What’s in it for you?

·Salary: up to £35-40k

·Monday to Friday 9-5 – hybrid working 1 day from home

· 22 days holiday plus 8 days bank holiday

· Free parking

· Private medical insurance

· Life insurance

· Employee assistance programme

· Online discount programme

Key responsibilities:

· Investigate and resolve issues identified during invoice validation

· Liaise directly with suppliers to challenge discrepancies and drive them to resolution

· Ensure consistent follow-through on issues from initiation to closure

· Retain relationships with dedicated supplier account managers, especially during transitions between suppliers, to avoid reliance on generic call centres

· Escalate issues appropriately to maintain service quality and continuity

· Provide regular updates to internal stakeholders

· Collaborate closely with colleagues

· Ensure issues are fully resolved before invoice approval.

· Maintain accurate, clean, and reliable data in to support ongoing validation and reporting

What the employer is looking for:

· Experience with analysing data or reconciling complex data

· Exceptional attention to detail – able to spot and investigate anomalies in data

· A strong completer-finisher who sees tasks through to final resolution

· Tenacious, self-starting character – able to work independently and persist through challenges

· Proficiency in Microsoft Excel – comfortable working with large datasets, formulas, and analysis tools

· Willingness and ability to learn systems and processes quickly

· Excellent written and verbal communication skills

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.

Top 10 Mistakes Candidates Make When Applying for Machine-Learning Jobs—And How to Avoid Them

Landing a machine-learning job in the UK is competitive. Learn the 10 biggest mistakes applicants make—plus tested fixes, expert resources and live links that will help you secure your next ML role. Introduction From fintechs in London’s Square Mile to advanced-research hubs in Cambridge, demand for machine-learning talent is exploding. Job boards such as MachineLearningJobs.co.uk list new vacancies daily, and LinkedIn shows more than 10,000 open ML roles across the UK right now. Yet hiring managers still reject most CVs long before interview—often for avoidable errors. Below are the ten most common mistakes we see, each paired with a practical fix and a live resource link so you can dive deeper.

Top 10 Best UK Universities for Machine Learning Degrees (2025 Guide)

Explore ten UK universities that deliver world-class machine-learning degrees in 2025. Compare entry requirements, course content, research strength and industry links to find the programme that fits your goals. Machine learning (ML) has shifted from academic curiosity to the engine powering everything from personalised medicine to autonomous vehicles. UK universities have long been pioneers in the field, and their programmes now blend rigorous theory with hands-on practice on industrial-scale datasets. Below, we highlight ten institutions whose undergraduate or postgraduate pathways focus squarely on machine learning. League tables move each year, but these universities consistently excel in teaching, research and collaboration with industry.

How to Write a Winning Cover Letter for Machine Learning Jobs: Proven 4-Paragraph Structure

Learn how to craft the perfect cover letter for machine learning jobs with this proven 4-paragraph structure. Ideal for entry-level candidates, career switchers, and professionals looking to advance in the machine learning sector. When applying for a machine learning job, your cover letter is a vital part of your application. Machine learning is an exciting and rapidly evolving field, and your cover letter offers the chance to demonstrate your technical expertise, passion for AI, and your ability to apply machine learning techniques to solve real-world problems. Writing a cover letter for machine learning roles may feel intimidating, but by following a clear structure, you can showcase your strengths effectively. Whether you're just entering the field, transitioning from another role, or looking to advance your career in machine learning, this article will guide you through a proven four-paragraph structure. We’ll provide practical tips and sample lines to help you create a compelling cover letter that catches the attention of hiring managers in the machine learning job market.