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Accounts Data Analyst Apprentice

WIDNES
£15.6k/yr
Posted 3 days ago
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Accounts Data Analyst Apprentice

SPORTING EVENTS GLOBAL LTD
WIDNES (WA8 6JA)
Closes in 26 days (Saturday 7 November 2026)
Posted on 9 October 2026

Wage: £15,600 to £24,784.50, depending on your age
National Minimum Wage

Hours: 37 hours 30 minutes a week
Start date: Monday 7 December 2026
Duration: 1 year 4 months
Positions available: 2

Summary

We are looking for an enthusiastic and analytical Accounts Data Analyst Apprentice to join our Accounts/Finance team. This is an exciting opportunity for someone who is interested in both finance and data analysis and wants to build a career while gaining a recognised Level 4 Data Analyst apprenticeship.

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

As an Accounts Data Analyst Apprentice, your responsibilities will include:

  • Supporting the accounts team with the collection, organisation and analysis of financial data
  • Assisting with day-to-day financial reporting and management information
  • Maintaining accurate financial spreadsheets, databases and reporting systems
  • Using Microsoft Excel to analyse financial information, identify trends and produce reports
  • Supporting the development of Power BI dashboards and visual reports
  • Helping to analyse sales, costs, margins, revenue, expenses, cash flow and other key financial information
  • Identifying trends, discrepancies and anomalies within financial data
  • Assisting with data cleansing and quality checks to ensure information is accurate and reliable
  • Combining information from different sources to create useful reports and analysis
  • Producing regular and ad-hoc reports for the accounts and wider management teams
  • Helping to automate repetitive reporting and data processes where appropriate
  • Supporting the accounts team with reconciliations and investigation of differences
  • Providing analysis that helps the business understand financial performance
  • Presenting findings and insights clearly to colleagues and managers
  • Maintaining confidentiality and following company procedures relating to financial information and data security
  • Working with colleagues across the business to understand their reporting and data requirements
  • Continuously looking for opportunities to improve the way financial information is collected, analysed and presented
  • Additional roles within the business in sales and marketing

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

Where you'll work

RICHMOND BUILDING
37-41 ALBERT ROAD
WIDNES WA8 6JA

Training

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

Training provider

NOWSKILLS LIMITED

Training course

Data analyst (level 4)
Understanding apprenticeship levels (opens in new tab)

What you'll learn

  • 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

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
  • Problem solving skills
  • Administrative skills
  • Number skills
  • Analytical skills
  • Initiative

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Other requirements

We are looking for someone who is:

  • Interested in accounts, finance and data analysis
  • Numerate and comfortable working with numbers
  • Naturally curious and enjoys finding answers by looking at data
  • Highly organised and able to manage their workload
  • Accurate and has a strong attention to detail
  • Confident using computers and willing to learn new systems
  • Interested in developing their Excel and analytical skills
  • A good communicator who can explain information clearly
  • Able to work independently while also being a strong team player
  • Keen to learn, develop and take responsibility
  • Reliable, professional, and committed to completing their apprenticeship

About this employer

At WorldChoice Sports, we turn sporting dreams into unforgettable journeys. For over 20 years, we’ve been your trusted travel partner for the world’s biggest sporting events, from Premier League matchdays to Formula 1 Grand Prix weekends, the Six Nations, Wimbledon, and beyond. We specialise in ticket and travel packages that take the hassle out of planning and put the focus where it belongs: on the thrill of the game and the excitement of the moment.

Whether you're cheering from the stands or exploring a new city around matchday, our mission is to bring fans closer to the action with tailor-made experiences, expert customer care, and unbeatable value. Our team lives and breathes sport, and we’re here to help you do the same, wherever the game takes you.

https://www.worldchoicesports.co.uk/ (opens in new tab)

After this apprenticeship

Your earnings can increase over time with an apprenticeship. Find out about potential future pay (opens in new tab).

Successful completion of the apprenticeship may lead to a permanent full-time role, subject to performance and business needs.

Ask a question

The contact for this apprenticeship is:
NOWSKILLS LIMITED
The reference code for this apprenticeship is VAC2000057784.

Apply now

Closes in 26 days (Saturday 7 November 2026)

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Skills

data analytics
create a financial report
keep sheet records
use microsoft office
carry out sales analysis
cost management
financial analysis
data security principles
communication
solve problems
apply numeracy skills
think analytically
show initiative
digital data processing
information structure
business intelligence
data mining
documentation types
visual presentation techniques
data engineering

Location

37-41 Albert Rd, Widnes WA8 6JA, UK

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