Finance and Insights Assistant Apprentice

Powersheds Limited

UK (BD4 6SF)

Closes in 27 days (Tuesday 31 March 2026)

Posted on 2 March 2026

Print

Contents

Summary

Are you looking to build a long-term career in Data and Finance? Then look no further! Start your career today with a level 3 with Powersheds Limited and Kaplan. You will be dealing with invoices, credit notes and accounts whilst working towards the Data Technician and AAT level 3 qualification.

Wage

£18,000 a year

Check minimum wage rates (opens in new tab)

Training course
Data technician (level 3)
Hours
Monday to Friday, 8:00am - 4:30pm.

40 hours a week

Start date

Friday 1 May 2026

Duration

1 year 6 months

Positions available

1

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

This is not a standard finance role. We are looking for a high-potential, ambitious individual who is excited by data, systems and commercial insight and who wants to build a long-term career in a modern, forward-thinking finance function.
In this role, you will:

  • Join a high-performing Finance team at the heart of a fast-growing, multi-million-pound business
  • Study towards a well-recognised data and or finance qualification with one of the UK’s leading apprenticeship training providers, fully supported by the business
  • Apply what you learn in real time, bringing a data-led, analytical mindset to improve reporting, processes and decision-making
  • Gain exposure to how a rapidly scaling organisation truly operates across commercial, operational and strategic areas
  • Develop into a commercially astute finance professional with clear long-term progression opportunities
  • The primary purpose of this role is to provide data-led insight and high-quality operational support to the Finance team, helping to drive smarter, faster decision-making across the business
  • You will play a key role in transforming how Finance works, developing dashboards, improving reporting, automating processes and supporting the rollout of new systems
  • Alongside this, you will provide administrative and financial support across the business, including document management, data input and coordination activities, ensuring information flows smoothly and accurately between teams
  • This is an ideal opportunity for someone who enjoys working with data, systems and technology, and who wants to build a long-term career in a progressive, digitally-driven finance function

Key responsibilities of this role include:

  • Support the preparation of monthly management accounts and flash reporting, using data to identify trends
  • Maintain accurate financial records and perform daily finance processes including receipts, payments, journals and invoice processing
  • Ensure supplier and customer invoices are authorised and processed in line with agreed controls and procedures
  • Manage the opening of new ledger and customer accounts in line with approved processes, credit limits and payment terms
  • Carry out debtor-chasing activities and report progress to management
  • Complete month-end procedures in line with strict group deadlines
  • Prepare, review and submit quarterly VAT returns
  • Perform daily bank and credit card reconciliations
  • Process weekly and monthly payment runs
  • Resolve finance queries promptly with suppliers, customers and internal stakeholders
  • Reconcile supplier invoices and statements
  • Maintain well-organised, complete and secure accounting records
  • Assist with the production of monthly KPIs and operational performance reporting for senior management
  • Communicate professionally with key stakeholders via email and telephone
  • Support the implementation of a new ERP system (Sage 200), including testing, data migration, controls and training
  • Help maintain the integrity, accuracy and structure of Sage 200 following go-live
  • Through your data qualification, develop, maintain and continuously enhance dashboards and reports using tools such as Nectari, Power BI, Excel and SQL to deliver actionable insight across the business
  • Help identify opportunities for automation, robotics and process improvement through macros, AI and workflow tools as part of your professional studies and development
  • Provide support to other departments during peak periods including HR, customer service and purchasing
  • Provide administrative support across the wider business where required, including collating and distributing documents, uploading files, scanning, printing and data input
  • Carry out any other duties required to ensure the smooth running of the Finance function, particularly around month-end and year-end
  • Ensure company policies and procedures are followed, particularly in relation to confidentiality, Health and Safety and Equal Opportunities

Where you'll work

21 Commondale Way
Bradford
UK
BD4 6SF

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

This apprenticeship provides your employees with fundamental capabilities crucial for navigating and leveraging data effectively within your organisation, allowing them to understand insights, foster transformation, and gain a competitive edge.

Data Analysis Fundamentals, Data Literacy and Generative AI Introduction. Data Analysis and Visualisation with Excel Databases and Data Modelling Data Challenge and EPA Readiness.

Our apprenticeships are uniquely designed to offer unparalleled support for both employers and learners. We provide expert-led, practical training and simulations that build transferable digital skills and instill a growth mindset - essential for effectively leveraging technology.

Requirements

Essential qualifications

GCSE or equivalent in:

  • Basic Maths (grade 9/A* - 4/C)
  • Standard English (grade 9/A* - 4/C)

A Level or equivalent in:

Any (grade A-C)

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
  • Problem solving skills
  • Administrative skills
  • Number skills
  • Analytical skills
  • Logical
  • Team working
  • Initiative

About this employer

At Powersheds, we’ve set out to build the greatest garden building brand in the world. Founded in 2019, we manufacture and supply premium wooden garden sheds and log cabins across the UK from our large manufacturing sites in Bradford. In this role, you will:Join a high-performing Finance team at the heart of a fast-growing, multi-million-pound business.

Company benefits

  • 28 days holidays (including Bank Holidays)
  • Option to buy an additional 5 days
  • Auto enrolment pension
  • Bereavement leave
  • Cycle to work scheme
  • Employee discount
  • Enhanced maternity leave
  • Enhanced paternity leave
  • Health & wellbeing programme
  • Life insurance

Disability Confident

Disability Confident

A fair proportion of interviews for this apprenticeship will be offered to applicants with a disability or long-term health condition. This includes non-visible disabilities and conditions.

You can choose to be considered for an interview under the Disability Confident scheme. You’ll need to meet the essential requirements to be considered for an interview.

After this apprenticeship

This role offers exceptional long-term career development within a fast-growing, ambitious business. As Powersheds continues to scale, the Finance function is expanding rapidly, creating clear opportunities for progression into commercial and analytical roles. You will gain hands-on experience working on high-impact projects including ERP transformation, automation initiatives, advanced reporting development and cross-functional improvement programmes. This exposure will position you strongly for accelerated progression as the business grows in complexity and international reach. Powersheds is committed to investing in talent from within. Those who demonstrate strong performance, curiosity and leadership potential will have opportunities to take on broader responsibilities, lead projects and influence how Finance operates across the organisation.
On successful completion, you will achieve:
• A Level 3 Data Technician qualification
• An AI Microcredential from CertNexus
• The AAT Level 3 Certificate in Bookkeeping
.

Ask a question

The contact for this apprenticeship is:

KAPLAN FINANCIAL LIMITED

The reference code for this apprenticeship is VAC2000018282.

Apply now

Closes in 27 days (Tuesday 31 March 2026)

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