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

Nominate & Attend

Customer Service Advisor

Bury
3 weeks ago
Create job alert

Job Title: Data Analyst Level /

Salary Range:Up to £27,000

Location: Bury - on site

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

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 Meter 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 Meter/Automatic Meter 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 meter or AMR data promptly and efficiently.

Manage and rectify industry meter reading rejections.

Liaise with customers, metering partners, reading agencies, other energy suppliers, and internal stakeholders to resolve meter and data queries.

Support the business in its AMR and Smart meter roll-out strategy.

Request, remove, or re-synchronise AMR devices with metering agencies within agreed SLAs.

Ensure meter readings are obtained and submitted within specified timeframes.

Process industry file flows that update meter 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

Related Jobs

View all jobs

Key Accounts and Customer Service Advisor

Customer Service & Claims Advisor

People Business Partner

Head of Learning and Development

Head of Learning and Development

Technical Support Advisor

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.

LinkedIn Profile Checklist for Data Science Jobs: 10 Tweaks to Elevate Recruiter Engagement

Data science recruiters often sift through dozens of profiles to find candidates skilled in Python, machine learning, statistical modelling and data visualisation—sometimes before roles even open. A generic LinkedIn profile won’t suffice in this data-driven era. This step-by-step LinkedIn for data science jobs checklist outlines ten targeted tweaks to elevate recruiter engagement. Whether you’re an aspiring junior data scientist, a specialist in MLOps, or a seasoned analytics leader, these optimisations will sharpen your profile’s search relevance and demonstrate your analytical impact.

Part-Time Study Routes That Lead to Data Science Jobs: Evening Courses, Bootcamps & Online Masters

Data science sits at the intersection of statistics, programming and domain expertise—unearthing insights that drive business decisions, product innovation and research breakthroughs. In the UK, organisations from fintech and healthcare to retail and public sector are investing heavily in data-driven strategies, fuelling unprecedented demand for data scientists, machine learning engineers and analytics consultants. According to recent projections, data science roles will grow by over 40% in the next five years, offering lucrative salaries and varied career paths. Yet many professionals hesitate to leave their current jobs or pause personal commitments for full-time study. The good news? A vibrant ecosystem of part-time learning routes—Evening Courses, Intensive Bootcamps and Flexible Online Master’s Programmes—empowers you to learn data science while working. This comprehensive guide explores every pathway: foundational CPD units and short courses, hands-on bootcamps, accredited online MScs, plus funding options, planning strategies and a real-world case study. Whether you’re an analyst looking to formalise your skills, a software developer pivoting into data or a manager seeking to harness data-driven decision-making, you’ll find the right route to fit your schedule, budget and career goals.

The Ultimate Assessment-Centre Survival Guide for Data Science Jobs in the UK

Assessment centres for data science positions in the UK are designed to replicate the multifaceted challenges of real-world analytics teams. Employers combine psychometric assessments, coding tests, statistical reasoning exercises, group case studies and behavioural interviews to see how you interpret data, build models, communicate insights and collaborate under pressure. Whether you’re specialising in predictive modelling, NLP or computer vision, this guide provides a step-by-step roadmap to excel at every stage and secure your next data science role.