Customer Solution Apprentice (Ligentia)

Join our Customer Solutions team and help customers and branches get the most from Ligentix, our customer platform. You'll support users day to day, keep our guides and content up to date, help test new features, and take on basic reporting and data work, all while working towards a recognised qualification.

Most of your apprenticeship is spent working. You’ll learn on the job by getting hands-on experience.

What you'll do at work

This apprenticeship sits within our Customer Solutions Team and is centered on Ligentix, our customer platform. You'll spend your time helping customers and branches use the system well, keeping our support content accurate, testing new features, and taking on light data and reporting work. It's a broad role that gives you real exposure across customer support, systems, and process improvement while you work towards your qualifications. You'll be supported by an experienced team throughout, with mentoring alongside your structured training.

Duties:

• Support customers and branches with Ligentix, answering queries and helping them get the most from the platform.
• Assist with customer onboarding and training, helping new users get up and running.
• Maintain knowledge articles, user guides, and SharePoint content so information stays current and easy to find.
• Support the testing of new features before release, helping catch issues early.
• Troubleshoot user issues and escalate where appropriate.
• Support system rollouts and drive user adoption.
• Produce basic reports and help identify process improvements.
• Carry out data validation and basic analysis.

Where you'll work

Trafalgar House
110 Manchester Road
Altrincham
WA14 1NU

Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.

Training provider

BPP PROFESSIONAL EDUCATION LIMITED

Training course

Data technician (level 3)
Understanding apprenticeship levels (opens in new tab)

What you'll learn

Course contents

• Select and migrate data from already identified sources.
• Format and save datasets.
• Summarise, analyse and explain gathered data.
• Combine data sets from multiple sources and present in format appropriate to the task.
• Use tools and/or apply basic statistical methods to identify trends and patterns in data.
• Identify faults and cleanse data to improve data quality, for example identifying gaps, duplicate entries, outliers and unusual variances, including cross-checking across data elements or between data sources.
• Audit data results for maintenance of data quality, reviewing a data set once all sources are combined, to ensure accuracy, completeness, consistency and traceability from original data.
• Demonstrate the different ways of communicating meaning from data in line with audience requirements.
• Produce clear and consistent documentation of the data provided to others and of actions completed. Where appropriate or mandated by the working context, this documentation should use standard organisational templates.
• Store, manage and distribute data in compliance with organisational, national, sector specific standards and or legislation.
• Considers sustainability and ways to reduce impact. For example, using cloud storage, sharing links to files, avoid storing multiple versions of files, and reducing the use of physical handouts of documentation.
• Parse data against standard formats, and test and assess confidence in the data and its integrity.
• Operate collaboratively in a working context that accounts for, and takes advantage of, the roles, skills and activities of others, especially those interacting with the same data sets or working towards a common goal.
• Prioritise own activities within the context of the duties to be performed, taking account of any known or expected impact on others.
• Follows equity, diversity and inclusion policies in the organisation for a common goal.
• Demonstrate the ability to use different tools and methods to formulate and utilise effective prompts to research, apply, and evaluate data transformation techniques.