Date Analyst - Metering

Bury
2 weeks ago
Create job alert

Job Title: Data Analyst

Location: Bury - on site

Level / Salary Range: Up to £27,000

Role Overview:

Time Recruitment is representing a client seeking a motivated and detail-oriented Data Analyst to join their growing team. The primary focus of this role is to support the management of a metering portfolio, liaise with stakeholders, and ensure accurate data flows related to Metre Asset Managers (MAMs). The successful candidate will play a key role in ensuring the timely and efficient resolution of queries and managing metering processes within the energy industry.

Key Responsibilities:

Manage all Metre/Automatic Metre Reader (AMR) installations, exchanges, removals, and asset update data flows, ensuring data sources are aligned and maintained.
Source key stakeholder details and update all relevant systems, ensuring all appointments and de-appointments are correct.
Resolve issues arising from incorrect metre or AMR data promptly and efficiently.
Manage and rectify industry metre reading rejections.
Liaise with customers, metering partners, reading agencies, other energy suppliers, and internal stakeholders to resolve metre and data queries.
Support the business in its AMR and Smart metre roll-out strategy.
Request, remove, or re-synchronise AMR devices with metering agencies within agreed SLAs.
Ensure metre readings are obtained and submitted within specified timeframes.
Process industry file flows that update metre point data, ensuring accurate billing at both industry and supplier levels.
Maintain and develop high levels of customer service to support the operational and sales functions of the business.
Provide regular and ad hoc reports.

Desired Personal Attributes:

Strong verbal and written communication skills.
Excellent organisational abilities and attention to detail.
Ability to prioritise and manage tasks in a fast-paced environment.
High level of accuracy in all areas of work.
Initiative to propose solutions and take action independently, with the confidence to challenge the status quo.
Flexible approach, with a willingness to assist in other areas of the business.
Excellent interpersonal skills and the ability to build relationships with senior managers and stakeholders.
Strong persuasion, influencing, and negotiation skills.

Advantageous Skills:

Proficient in MS Office, particularly MS Excel.
Experience in an operations function within an energy supplier.
Advanced MS Excel knowledge.
Experience working as a third-party agent such as a MAM/MOP/DC.
This role offers an excellent opportunity to join a dynamic, growing team. The duties listed above are not exhaustive and may evolve in line with the business's needs.

Benefits:

Free breakfast and lunch in the office
25 days holiday (plus bank holidays)
Annual bonus scheme
Flextime
Free parking
Wellbeing support
Onsite gym
Exciting social and team-building events
To find out more about this exciting opportunity, apply today

Related Jobs

View all jobs

Date Analyst - Metering

Business Data Analyst

Data Analyst (Financial Markets, Data Mapping, Modelling)

Data Analyst (Financial Systems, Data Mapping, Modelling)

Data Analyst

Flight Data Analyst

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.

Tips for Staying Inspired: How Machine Learning Pros Fuel Creativity and Innovation

Machine learning (ML) continues to reshape industries—from personalised e-commerce recommendations and autonomous vehicles to advanced healthcare diagnostics and predictive maintenance in manufacturing. Yet behind every revolutionary model lies a challenging and sometimes repetitive process: data cleaning, hyperparameter tuning, infrastructure management, stakeholder communications, and constant performance monitoring. It’s no wonder many ML professionals can experience creative fatigue or get stuck in the daily grind. So, how do machine learning experts keep their spark alive and continually generate fresh ideas? Below, you’ll find ten actionable strategies that successful ML engineers, data scientists, and research scientists use to stay innovative and push boundaries. Whether you’re an experienced practitioner or just breaking into the field, these tips can help you fuel creativity and discover new angles for solving complex problems.

Top 10 Machine Learning Career Myths Debunked: Key Facts for Aspiring Professionals

Machine learning (ML) has become one of the hottest fields in technology—touching everything from recommendation engines and self-driving cars to language translation and healthcare diagnostics. The immense potential of ML, combined with attractive compensation packages and high-profile success stories, has spurred countless professionals and students to explore this career path. Yet, despite the boom in demand and innovation, machine learning is not exempt from myths and misconceptions. At MachineLearningJobs.co.uk, we’ve had front-row seats to the real-life career journeys and hiring needs in this field. We see, time and again, that outdated assumptions—like needing a PhD from a top university or that ML is purely about deep neural networks—can mislead new entrants and even deter seasoned professionals from making a successful transition. If you’re curious about a career in machine learning or looking to take your existing ML expertise to the next level, this article is for you. Below, we debunk 10 of the most persistent myths about machine learning careers and offer a clear-eyed view of the essential skills, opportunities, and realistic paths forward. By the end, you’ll be better equipped to make informed decisions about your future in this dynamic and rewarding domain.

Global vs. Local: Comparing the UK Machine Learning Job Market to International Landscapes

How to evaluate opportunities, salaries, and work culture in machine learning across the UK, the US, Europe, and Asia Machine learning (ML) has rapidly transcended the research labs of academia to become a foundational pillar of modern technology. From recommendation engines and autonomous vehicles to fraud detection and personalised healthcare, machine learning techniques are increasingly ubiquitous, transforming how organisations operate. This surge in applications has fuelled an extraordinary global demand for ML professionals—data scientists, ML engineers, research scientists, and more. In this article, we’ll examine how the UK machine learning job market compares to prominent international hubs, including the United States, Europe, and Asia. We’ll explore hiring trends, salary ranges, workplace cultures, and the nuances of remote and overseas roles. Whether you’re a fresh graduate aiming to break into the field, a software engineer with an ML specialisation, or a seasoned professional seeking your next challenge, understanding the global ML landscape is essential for making an informed career move. By the end of this overview, you’ll be equipped with insights into which regions offer the best blend of salaries, work-life balance, and cutting-edge projects—plus practical tips on how to succeed in a domain that’s constantly evolving. Let’s dive in.