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

Nominate & Attend

Key Accounts and Customer Service Advisor

Coalville
3 weeks ago
Applications closed

Related Jobs

View all jobs

Group Director, Business Intelligence & Customer Master

Data and Business Analytics Assistant Manager or Manager - Business Restructuring

Data Strategy & Advisory Leader

Data Strategy & Advisory Leader - Payments

Data Strategy & Advisory Leader - Energy

Data Strategy & Advisory Leader - Insurance

Key Accounts & Customer Service Advisor

Location: Coalville, Leicestershire
Salary: £25,000-£26,000 per annum
Employment Type: Full-time, Permanent

As a Customer Service Administrator in our Key Accounts & Own Brand team, you'll be at the heart of our operations, ensuring our customers receive exceptional service and our internal processes run smoothly. This role offers a blend of customer interaction, data management, and logistical coordination, providing a dynamic workday.

Responsibilities:

Customer Account Management: Serve as the primary point of contact for key customer accounts, building and maintaining strong relationships.
Order Processing: Accurately process customer orders in SAP, ensuring timely and correct delivery.
Data Management: Maintain and update customer records in SAP and Excel, ensuring data integrity and compliance.
Reporting: Generate and analyse weekly customer stock reports, providing insights to optimise product availability.
Communication: Handle incoming calls and emails, addressing customer inquiries and concerns promptly and professionally.
Logistics Coordination: Manage container deliveries from factories, liaising with shipping companies and customers to ensure timely arrivals.
Warranty & Aftersales Support: Process warranty claims and aftersales inquiries, ensuring customer satisfaction and adherence to company policies.
Administrative Support: Assist the Own Brand Manager with various departmental tasks as required.Skills Required:

Experience: Proven experience in a customer service or administrative role, preferably within a commercial environment.
Technical Skills: Proficiency in SAP and Microsoft Excel (including functions such as VLOOKUP and SUMIF).
Communication: Excellent verbal and written communication skills.
Organisational Skills: Strong attention to detail with the ability to manage multiple tasks and prioritise effectively.
Customer Focus: Demonstrated ability to build and maintain positive customer relationships.
Teamwork: Ability to work collaboratively within a team and support colleagues as needed.If you're enthusiastic about providing exceptional customer service and are looking for a role where you can grow and make a difference, we'd love to hear from you.

Please submit your CV and a cover letter outlining your relevant experience and why you're interested in this role.

Brook Street NMR is acting as an Employment Agency in relation to this vacancy

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.

Data Science Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide—refreshed every quarter—so you always know who’s really expanding their data‑science teams. Budgets for predictive analytics, GenAI pilots & real‑time decision engines keep climbing in 2025. The UK’s National AI Strategy, tax relief for R&D & a sharp rise in cloud adoption mean employers need applied scientists, ML engineers, experiment designers, causal‑inference specialists & analytics leaders—right now. Below you’ll find 50 organisations that have advertised UK‑based data‑science vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the kind of employer—& culture—that suits you. For every company you’ll see: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, mission, culture) Search any employer on DataScience‑Jobs.co.uk to view current ads, or set up a free alert so fresh openings land straight in your inbox.

Return-to-Work Pathways: Relaunch Your Data Science Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like stepping into a whole new world—especially in a dynamic field like data science. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s data science sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve gained and provide mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for data science talent in the UK Leverage your organisational, communication and analytical skills in data science roles Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to data science Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to data science Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as a data analyst, machine learning engineer, data visualisation specialist or data science manager, this article will map out the steps and resources you need to reignite your data science career.

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.