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Data Analyst Apprentice (Level 4)

Barking, Chatham, London, Solihull
£16k/yr
Posted 4 days ago
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Data Analyst Apprentice (Level 4)

We are seeking a curious and analytically minded individual to join our team as a Data Analyst Apprentice (Level 4). Gain hands-on experience with real data, visualisation, statistical analysis, and data engineering while completing a nationally recognised Level 4 Data Analysis qualification.

Wage: £16,000 a year. The pay may be negotiated and may rise after a probation period has been successfully completed.

Training course: Data analyst (level 4)

Hours: Monday to Friday, 9.00am to 5.00pm. 37 hours 30 minutes a week

Start date: Monday 17 August 2026

Duration: 1 year 6 months

Positions available: 1

What you'll do at work:

  • Collect, clean, and validate data from multiple internal and external sources
  • Analyse and interpret complex data sets to identify trends, patterns, and actionable insights
  • Build and maintain interactive dashboards and reports using Power BI
  • Write and optimise SQL queries to extract and manipulate data from relational databases
  • Use Python and/or R to perform statistical analysis, automate processes, and build analytical pipelines
  • Work with big data tools and platforms to handle large-scale datasets
  • Present findings clearly to both technical and non-technical audiences
  • Collaborate with stakeholders to understand data requirements and translate them into analytical outputs
  • Maintain data quality, documentation, and governance standards

Where you'll work:

You can select which locations you want to apply for in your application on Find an apprenticeship.

This apprenticeship is available in these locations:

  • Town Hall, 1 Town Square, Barking, IG11 7LU
  • Gun Wharf, Dock Road, Chatham, ME4 4TR
  • King Street, London, W6 9JT
  • Council House, Manor Square, Solihull, B91 3QB

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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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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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

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Training provider: VELOCITY 1ST 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

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Training schedule:

Velocity apprenticeship training programmes are delivered virtually by our fully qualified and industry experienced training team. Using their expert knowledge, they will provide the skills necessary to succeed in the workplace and to expand future career prospects.

Throughout the apprenticeship learners receive coaching, help and guidance from a dedicated team who are there to ensure they get the most from their programme.

Essential qualifications:

  • GCSE in:
    • English (grade 4/C or above (or equivalent))
    • Maths (grade 4/C or above (or equivalent))

Desirable qualifications:

  • Level 3 qualification (A Level, BTEC or equivalent) in:
    • Mathematics or a related subject (grade Pass or above)

Share if you have other relevant qualifications and industry experience. The apprenticeship can be adjusted to reflect what you already know.

About this employer:

DDM Health Ltd is a UK digital health company delivering innovative technology-enabled healthcare solutions. Through its Gro Health platform, it supports people in managing conditions such as diabetes and obesity, working with healthcare providers and the NHS to improve health outcomes.

https://ddm.health/ (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).

The role offers long term security and the opportunity to progress into a permanent position.

Ask a question:

The contact for this apprenticeship is: VELOCITY 1ST LIMITED

The reference code for this apprenticeship is VAC2000041249.

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Skills

Data analysis
Data visualization
Statistical analysis
Data engineering
SQL
Python
R
Big data tools
Power BI
Communication skills
IT skills
Attention to detail
Organisation skills
Customer care skills
Problem solving skills
Presentation skills
Administrative skills
Analytical skills
Logical thinking
Team working
Creative thinking
Initiative
Patience
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