3 of 3 Apprenticeship Customer Requirements Jobs in the UK excluding London

Solutions Architecture team design innovative, scalable technology solutions that turn complex customer requirements into clear, practical outcomes. Grow your potential as a Technical Solutions Apprentice, gain hands-on experience working alongside experienced architects, and kickstart your career in technology. Role As an apprentice, you’ll gain hands … develop the technical and commercial knowledge needed to design tailored solutions for real business customers. Day-to-day, you could be: Reviewing customer requirements (often pre-qualified by the Sales Engineering team) and translating them into clear technical solution designs Analysing network records across fibre, transmission and optical ...

This role plays a vital part in ensuring seamless communication between sales, engineering, and customers. The responsibility for efficiently managing job allocations, customer arrangements, post-sale clarifications to ensure accurate service delivery will be the focus. Role Engineering Job Allocation: Assign jobs effectively based on customer requirements, ensuring accurate scheduling Customer Contact & Coordination: Liaise with customers to confirm service needs, scheduling, and any additional clarifications required post-sale Clarifying Questions: Use post-sale follow-ups to ensure engineers have the right job details and required equipment Order & Quote Management: Generate and process customer orders ...

transforming and modelling data with the goal of discovering useful information, informing conclusions and supporting decision-making. Role Use data systems securely to meet requirements and in line with organisational procedures and legislation, including principles of Privacy by Design Implement the stages of the data analysis lifecycle Apply principles … experience and domain context on data analysis activity Identify and escalate quality risks in data analysis with suggested mitigation or resolutions as appropriate Undertake customer requirements analysis and implement findings in data analytics planning and outputs Identify data sources and the risks and challenges to combining within ...