Metering Data Analyst

Axon Moore

Old Birtle

Last month

Applications closed

Posted: 24 Mar 2026 (Last month)

Save job

Create job alert

Applications closed

Metering Data Analyst

Bury (Greater Manchester)

Up to £28,000

We are currently recruiting for a Metering Data Analyst to join a growing and well-established energy supplier based in Bury. This is a fantastic opportunity to join a business with ambitious growth plans, a strong reputation in the market, and a genuinely supportive, people-focused culture.

The Role

This position sits within the metering team and will focus on the management of metering data, industry processes, and stakeholder relationships. You’ll play a key role in ensuring accurate meter data, supporting installations and exchanges, and resolving queries efficiently to maintain a high level of service.

This is a fast-paced, detail-oriented role where strong organisation and communication skills are essential.

Key Responsibilities

Manage meter and AMR installations, exchanges, removals, and associated data flows

Ensure all metering data is accurate and aligned across internal and industry systems

Source and manage Meter Asset Manager (MAM) appointments and updates

Investigate and resolve meter data discrepancies and issues

Handle meter reading rejections and ensure timely resolution

Liaise with customers, suppliers, and third parties to resolve queries

Support AMR and Smart meter rollout initiatives

Ensure meter readings are obtained and submitted within required timeframes

Process industry file flows to maintain accurate supply point data

Produce regular and ad hoc reporting

Deliver a high level of customer service across internal and external stakeholders

About You

Strong verbal and written communication skills

Highly organised with the ability to prioritise workload effectively

Excellent attention to detail and accuracy

Proactive mindset with the confidence to challenge and suggest improvements

Flexible and adaptable approach

Strong relationship-building skills

Desirable Experience

Previous experience within an energy supplier or operations environment

Working knowledge of MS Office, particularly Excel

Experience working with third-party metering agents (e.g. MAM or MOP)

Advanced Excel skills (advantageous)

What’s on Offer

Salary up to £28,000

25 days holiday + bank holidays

Annual bonus scheme

Flexible working hours

Free on-site parking

Wellbeing support

On-site gym

Regular social and team events

If you’re interested in hearing more, please apply or get in touch for a confidential discussion

Industry Insights

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

Apr 9, 2026

Products

Where to Advertise Data Science Jobs in the UK (2026 Guide)

Where to advertise data science jobs UK in 2026: the specialist boards, communities and channels that actually reach senior and lead data science talent. Data science spans a broad and often misunderstood spectrum — from statistical modelling and experimental design through to machine learning engineering, product analytics and AI research. The strongest candidates identify firmly with specific subdisciplines and are frustrated by adverts that conflate data scientist with data analyst, business intelligence developer or machine learning engineer. General job boards produce high application volumes for data roles but consistently fail to match specialist data science profiles with the right opportunities. This guide, published by DataScienceJobs.co.uk, covers where to advertise data science roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Apr 5, 2026

Jobs

Data Science Jobs UK 2026: What to Expect Over the Next 3 Years

Data Science Jobs UK 2026: roles, salaries and the trends shaping UK data science hiring over the next three years — from MLE crossover to GenAI workflows. Data science has spent the past decade being described as the sexiest job of the twenty-first century. By 2026, the reality is both more nuanced and more interesting than that label ever suggested. The discipline has matured, fragmented, deepened, and in some respects reinvented itself — and the jobs market has changed with it in ways that create genuine opportunity for those who understand what employers actually want, and genuine difficulty for those still operating on assumptions formed five years ago. The data science jobs market of 2026 is not simply a larger version of what it was three years ago. The generalist data scientist — equally comfortable wrangling data, building models, and presenting insights to the board — is giving way to a more specialised landscape where employers know exactly what problem they are trying to solve and are looking for candidates with the specific depth to solve it. Machine learning engineering, causal inference, experimentation, AI product development, and domain-specific applied science have all emerged as distinct career tracks within what was previously a single, loosely defined profession. At the same time, the arrival of large language models and the broader AI capability wave has both threatened and created data science roles in equal measure. Some of the work that junior data scientists spent their early careers doing — data cleaning, exploratory analysis, basic model building — is being partially automated by AI tooling. But the demand for practitioners who can evaluate AI systems rigorously, apply statistical thinking to complex business problems, and build the data foundations on which AI depends has grown considerably. The candidates who will thrive over the next three years are those who understand where the discipline is heading — which specialisms are attracting the most investment, which technologies are reshaping what data scientists are expected to build and know, and how to position a data science career that will remain valuable as the field continues to evolve around them. This article breaks down what the UK data science jobs market is likely to look like through to 2028 — covering the titles emerging right now, the technologies driving employer demand, the skills that will matter most, and how to position your career ahead of the curve.

Mar 24, 2026

Jobs

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

New Data Science Employers to Watch in 2026: a UK and international shortlist of analytics and AI companies hiring data scientists, ML engineers and analysts. Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.