Date Analyst - Metering

Bury
1 month ago
Applications closed

Related Jobs

View all jobs

QA Scientist Analyst - GSK0JP00106075

FP&A Analyst

Performance Analyst

Performance Analyst

Data Analyst - Tableau Specialist

Business Analyst (Planning & Forecasting)

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

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.

Negotiating Your Data Science Job Offer: Equity, Bonuses & Perks Explained

Data science has rapidly evolved from a niche specialty to a cornerstone of strategic decision-making in virtually every industry—from finance and healthcare to retail, entertainment, and AI research. As a mid‑senior data scientist, you’re not just running predictive models or generating dashboards; you’re shaping business strategy, product innovation, and customer experiences. This level of influence is why employers are increasingly offering compensation packages that go beyond a baseline salary. Yet, many professionals still tend to focus almost exclusively on base pay when negotiating a new role. This can be a costly oversight. Companies vying for data science talent—especially in the UK, where demand often outstrips supply—routinely offer equity, bonuses, flexible work options, and professional development funds in addition to salary. Recognising these opportunities and effectively negotiating them can have a substantial impact on your total earnings and long-term career satisfaction. This guide explores every facet of negotiating a data science job offer—from understanding equity structures and bonus schemes to weighing crucial perks like remote work and ongoing skill development. By the end, you’ll be well-equipped to secure a holistic package aligned with your market value, your life goals, and the tremendous impact you bring to any organisation.

Data Science Jobs in the Public Sector: Exploring Opportunities Across GDS, NHS, MOD, and More

Data science has emerged as one of the most influential fields in the 21st century, transforming how organisations make decisions, improve services, and solve complex problems. Nowhere is this impact more visible than in the UK public sector. From the Government Digital Service (GDS) to the National Health Service (NHS) and the Ministry of Defence (MOD), government departments and agencies handle vast amounts of data daily to support the well-being and security of citizens. For data enthusiasts looking to make a meaningful contribution, data science jobs in the public sector can offer rewarding roles that blend innovation, large-scale impact, and societal benefit. In this comprehensive guide, we’ll explore why data science is so pivotal to government, the roles you might find, the skills needed, salary expectations, and tips on how to succeed in a public sector data science career.

Contract vs Permanent Data Science Jobs: Which Pays Better in 2025?

Data science sits at the intersection of statistics, machine learning, and domain expertise, driving crucial business decisions in almost every sector. As UK organisations leverage AI for predictive analytics, customer insights, and automation, data scientists have become some of the most in-demand professionals in the tech job market. By 2025, data scientists with expertise in deep learning, natural language processing (NLP), and MLOps are commanding top-tier compensation packages. However, deciding whether to become a day‑rate contractor, a fixed-term contract (FTC) employee, or a permanent member of an organisation can be challenging. Each path offers a unique blend of earning potential, career progression, and work–life balance. This guide will walk you through the UK data science job market in 2025, examine the differences between these three employment models, present sample take‑home pay scenarios, and offer strategic considerations to help you determine the best fit for your career.