Summary
Are you looking to build a long-term career in Finance? Then look no further! Start your career today with a Level 3 apprenticeship with AVEVA and Kaplan. You will be gaining valuable workplace experience whilst working towards the Finance Analyst apprenticeship.
Wage
£22,000 a year
Training course
Data technician (level 3)
Hours
09:00 to 17:30 (Mon-Thu), and 09:00 to 17:00 (Fri).
37 hours a week
Start date
Monday 8 September 2025
Duration
1 year 6 months
Positions available
6
Work
Most of your apprenticeship is spent working. You’ll learn on the job by getting hands-on experience.
What you’ll do at work
The main duties the apprentice will perform will vary based on the role of each particular rotation. Each apprentice will have a minimum of four role rotations of six months in duration. The apprentice will have had a great range of exposure in four different roles. Skills and knowledge gained during this time will include:
* Fundamentals of various standardised finance processes including Procure to Pay, Invoice to Cash, Record to Report etc
* Knowledge of finance systems such as Oracle Fusion ERP and general business systems such as Microsoft Outlook, Excel, Powerpoint etc
* Understanding of compliance, controls and related processes in a global software company
The apprentice will be provided with an excellent amount of support at AVEVA, including a dedicated career manager, a day-to-day rotation manager and a site location manager.
Where you’ll work
High Cross, Madingley Road
Cambridge
Cambridgeshire
UK
CB3 0HB
Training
Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.
College or training organisation
KAPLAN FINANCIAL LIMITED
Your training course
Data technician (level 3)
Equal to A level
Course contents
* Source and migrate data from already identified different sources.
* Collect, format and save datasets.
* Summarise and explain gathered data.
* Blend data sets from multiple sources and present in format appropriate to the task.
* Manipulate and link different data sets as required.
* Use tools and techniques to identify trends and patterns in data.
* Apply basic statistical methods and algorithms to identify trends and patterns in data.
* Apply cross checking techniques for identifying faults and data results for data project requirements.
* Audit data results.
* Demonstrate the different ways of communicating meaning from data in line with audience requirements.
* Produce clear and consistent technical documentation using standard organisational templates.
* Store, manage and distribute in compliance with data security standards and legislation.
* Explain data and results to different audiences in a way that aids understanding.
* Review own development needs.
* Keep up to date with developments in technologies, trends and innovation using a range of sources.
* Clean data i.e. remove duplicates, typos, duplicate entries, out of date data, parse data (e.g. format telephone numbers according to a national standard) and test and assess confidence in the data and its integrity.
* Operate as part of a multi-functional team.
* Prioritise within the context of a project.
* Source and migrate data from already identified different sources.
* Collect, format and save datasets.
* Summarise and explain gathered data.
* Blend data sets from multiple sources and present in format appropriate to the task.
* Manipulate and link different data sets as required.
* Use tools and techniques to identify trends and patterns in data.
* Apply basic statistical methods and algorithms to identify trends and patterns in data.
* Apply cross checking techniques for identifying faults and data results for data project requirements.
* Audit data results.
* Demonstrate the different ways of communicating meaning from data in line with audience requirements.
* Produce clear and consistent technical documentation using standard organisational templates.
* Store, manage and distribute in compliance with data security standards and legislation.
* Explain data and results to different audiences in a way that aids understanding.
* Review own development needs.
* Keep up to date with developments in technologies, trends and innovation using a range of sources.
* Clean data i.e. remove duplicates, typos, duplicate entries, out of date data, parse data (e.g. format telephone numbers according to a national standard) and test and assess confidence in the data and its integrity.
* Operate as part of a multi-functional team.
* Prioritise within the context of a project.
Your training plan
Our Finance Analyst apprenticeship programme integrates eight modules of technical training with work based projects. This ensures that learning and skills are directly applied to the apprentice’s role, and maximises the time used as part of off-the-job training.
As an evolution of the Data User apprenticeship, this industry tailored programme is the first of its kind to combine essential data skills and competencies with core accountancy knowledge for those working in a finance function, but not necessarily in an accounting role. It offers your employees the unique opportunity to be equipped with relevant skills to directly apply their learning in the workplace and unlock potential from your data.
As well as developing technical skills using a range of core technologies and platforms, your employees will develop the ability to source, analyse, work with financial data, and generate insights that underpin business decisions to build a case for change.
Requirements
Essential qualifications
GCSE or equivalent in:
* English (grade 9-4)
* Maths (grade 9-4)
Let the company know about other relevant qualifications and industry experience you have. They can adjust the apprenticeship to reflect what you already know.
Skills
* Communication skills
* IT skills
* Attention to detail
* Organisation skills
* Customer care skills
* Problem solving skills
* Administrative skills
* Number skills
* Analytical skills
* Logical
* Team working
* Initiative
Other requirements
37 hours - 09:00 to 17:30 (Mon-Thu), and 09:00 to 17:00 (Fri) 50% attendance; spending 50% of a month in office premises. Benefits Include - Holiday: 28 days holidays + 8 bank holidays in a calendar year. Pension: Auto enrolment to AVEVA's group pension scheme. Life Assurance: 4 x Annual Basic Salary - depending on the terms of the scheme. Income Protection: %66 of annual basic salary - depending on the terms of the scheme.