Finance Analyst Apprentice in Nottingham, United Kingdom

Summary

The Financial & Business Support Apprentice will support the day-to-day financials, reporting & delivery of financial support within the UK Transport Retail business unit. The postholder will develop practical finance & management skills needed to succeed in this role.

Wage

£23,088 a year

Training course

Data analyst (level 4)

Hours

Days and shifts to be confirmed.

37 hours 30 minutes a week

Start date

Friday 27 November 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

• Support the Finance & Business Support Manager in pulling together financial data, reviewing, & reporting the information.
• Assist in the time booking process ensuring all the timesheets across the business unit are submitted weekly on time & as accurate as possible.
• Assist in month end preparation & review of support, projects & hardware financial transactions.
• Help with reporting of profit and loss for each of the business unit leads with analysis & commentary monthly
• Help with pulling together the monthly revenue and costs forecasting for each of the dept heads
• Assist in bid financial support when required
• Liaise & assist where with project managers on purchase orders, goods received notes, supplier invoices, missing costs etc.
• Liaise with Project managers on customer invoicing & monitoring timely submission
• Assist in CIP (contract in progress) spreadsheets
• Ensure investments are reported correctly each month & any deviations reported
• Provide general administrative and finance support to the service, project teams & wider UK Transport Retail team.
• Assist with arranging finance calls, preparing agendas, recording actions, and monitoring progress.
• Liaise & work very closely with the finance controlling team
• Promote positive working relationships, inclusion, and effective teamwork.
• Assist in monitoring key financial performance indicators and operational KPI targets.
• Help prepare finance reports, dashboards, and presentations for management meetings.
• Contribute ideas for improving processes, efficiency, profit improvement plans experience, and ways of working.

Where you'll work

1 Beeston Business Park, Technology Drive
Beeston
Nottingham
NG9 1LA

Training

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

Training provider

QA LIMITED

Training course

Data analyst (level 4)

What you'll learn

Course contents

• 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 of data classification within data analysis activity
• analyse data sets taking account of different data structures and database designs
• assess the impact on user 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 combination within data analysis activity
• apply organizational architecture requirements to data analysis activities
• apply statistical methodologies to data analysis tasks
• apply predictive analytics in the collation and use of data
• collaborate and communicate with a range of internal and external stakeholders using appropriate styles and behaviours to suit the audience
• use a range of analytical techniques such as data mining, time series forecasting and modelling techniques to identify and predict trends and patterns in data
• collate and interpret qualitative and quantitative data and convert into infographics, reports, tables, dashboards and graphs
• select and apply the most appropriate data tools to achieve the optimum outcome
• 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 of data classification within data analysis activity
• analyse data sets taking account of different data structures and database designs
• assess the impact on user 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 combination within data analysis activity
• apply organizational architecture requirements to data analysis activities
• apply statistical methodologies to data analysis tasks
• apply predictive analytics in the collation and use of data
• collaborate and communicate with a range of internal and external stakeholders using appropriate styles and behaviours to suit the audience
• use a range of analytical techniques such as data mining, time series forecasting and modelling techniques to identify and predict trends and patterns in data
• collate and interpret qualitative and quantitative data and convert into infographics, reports, tables, dashboards and graphs
• select and apply the most appropriate data tools to achieve the optimum outcome

Training schedule

The Data Analyst programme integrates live and online workshops with self-paced learning, employing a guided discovery approach for individual learner contexts.

Learners are assigned a Digital Learning Consultant (DLC) for personalised coaching and support. These specialists ensure their successful progress, well being, and readiness for assessments.

Requirements

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
• Number skills
• Team working

Other requirements

Standard entry requirements

• Level 3 qualification (apprenticeship/A-levels/BTEC etc.)
• OR equivalent work experience (typically two years in a relevant role)

Plus:

• 5 GCSEs, including English and Maths at Grade 4 (C) or above
• Experience with using Excel (in particular pivot tables and XLookup) and Microsoft products (or similar)