Finance Analyst Apprenticeship

AVEVA

UK (CB3 0HB)

Closes in 7 days (Thursday 30 April 2026)

Posted on 23 April 2026

Print

Contents

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

£24,500 a year

Check minimum wage rates (opens in new tab)

Training course
Data technician (level 3)
Hours
Monday - Friday, Shifts to be confirmed.

37 hours a week

Start date

Monday 7 September 2026

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 apprenticeship programme has four rotations of six months in a variety of teams across Finance. The day to day duties the apprentice has will vary based on the particular rotation.

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.

Training provider

KAPLAN FINANCIAL 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.
  • 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.

Training schedule

  • 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)

Share if you have other relevant qualifications and industry experience. The apprenticeship can be adjusted 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
  • Non judgemental
  • Patience

Other requirements

Benefits Include:

  • Annual holiday entitlement is 36 days, which includes eight public holiday day
  • Auto enrolment in AVEVA’s Group Pension Plan
  • Income Protection scheme to the level of 66% of annual basic salary, depending on the terms of the scheme
  • Life Assurance scheme to the level of 4x annual basic salary, depending on the terms of the scheme
  • Eligible to participate in AVEVA’s discretionary global annual bonus plan (dependent on both AVEVA’s and individual performance)

About this employer

AVEVA is a global leader in industrial software, sparking ingenuity to drive responsible use of the world’s resources. The company’s secure industrial cloud platform and applications enable businesses to harness the power of their information and improve collaboration with customers, suppliers and partners. Over 20,000 enterprises in over 100 countries rely on AVEVA to help them deliver life’s essentials: safe and reliable energy, food, medicines, infrastructure and more.

After this apprenticeship

The AVEVA Finance Apprenticeship is an exciting opportunity to join AVEVA as an apprentice within our Finance function.

The apprentice will be gaining a wide range of hands-on experience via regular rotations in a number of roles within Finance, such as:

  • Procure to Pay - Processing supplier invoices related to purchase orders
  • Record to Report - Posting general ledger journal entries and performing financial reconciliations
  • Master Data Management - Following standard operating procedures to create new customers and suppliers in our Oracle Fusion ERP system
  • Commercial Operations - Processing software sales orders through our order management and fulfilment systems

Ask a question

The contact for this apprenticeship is:

KAPLAN FINANCIAL LIMITED

The reference code for this apprenticeship is VAC2000027926.

Apply now

Closes in 7 days (Thursday 30 April 2026)

After signing in, you’ll apply for this apprenticeship on the company's website.