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Data Analyst Apprentice

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Data Analyst Apprentice
SERVICE BOX GROUP LIMITED
HOVE (BN3 1DD)
Closes in 28 days (Friday 23 October 2026 at 11:59pm)
Posted on 24 September 2026
Contents
Summary
Are you ready to transform raw data into business gold? As a Level 4 Data Analyst Apprentice, you'll be at the heart of decision-making, uncovering hidden patterns and driving real business impact. This is your chance to develop in-demand analytical skills while working with cutting-edge tools and technologies.
Wage
£16,000 a year
Minimum wage rates (opens in new tab)
Training course
Data analyst (level 4)
Hours
Monday- Friday 9.00am- 5.30pm. Shifts to be confirmed.
37 hours 30 minutes a week
Start date
Friday 30 October 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
Are you ready to transform raw data into business gold? As a Level 4 Data Analyst Apprentice, you'll be at the heart of decision-making, uncovering hidden patterns and driving real business impact. This is your chance to develop in-demand analytical skills while working with cutting-edge tools and technologies.
You'll become fluent in Excel, SQL, Power BI, and Tableau - the essential toolkit of modern data professionals. But that's just the beginning. You'll also harness the power of AI-driven technologies like Claude to automate processes, unlock insights faster, and elevate your analytical capabilities to the next level.
Key Responsibilities:
- Collect, clean, and prepare data from multiple sources to ensure accuracy and reliability
- Perform in-depth data analysis using SQL and Excel to identify trends, patterns, and anomalies
- Create compelling visualisations in Power BI and Tableau that tell data stories and drive action
- Automate routine processes and build workflows using AI tools, saving time and reducing errors
- Present findings to stakeholders and translate technical insights into actionable business recommendations
- Collaborate with cross-functional teams to understand data needs and deliver solutions that matter
Where you'll work
SHERIDAN HOUSE
114-116 WESTERN ROAD
HOVE
BN3 1DD
Training
Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.
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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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour 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.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
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.
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.
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.
Training provider
LEEP TALENT LIMITED
Training course
Data analyst (level 4)
Understanding apprenticeship levels (opens in new tab)
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


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Training schedule
Data Analyst Level 4 Apprenticeship Standard
You will also receive full training and support from the Apprenticeship Team to increase your skills
Requirements
Essential qualifications
- GCSE in:
- English (grade 4/C +)
- Maths (grade 4/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
- Customer care skills
- Problem solving skills
- Analytical skills
- Logical
- Team working
- Creative
- Motivated
- Can do attitude
- Tech Savvy
- Passion for Data
- Enthusiastic
- Willingness to learn
About this employer
We're a growing business that truly values analytical thinking and data-driven decision-making. Your work will have immediate, visible impact on company strategy and operations. You'll join a supportive, collaborative culture where learning is encouraged, and your ideas are heard.
After this apprenticeship
Your earnings can increase over time with an apprenticeship. Find out about potential future pay (opens in new tab).
Potential full-time position for the right candidate after completion of the apprenticeship
Ask a question
The contact for this apprenticeship is:
LEEP TALENT LIMITED
The reference code for this apprenticeship is VAC2000055349.
Apply now
Closes in 28 days (Friday 23 October 2026 at 11:59pm)
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