Published on

18 Jun 2025

Data Analyst Apprentice

Full-Time

/

Manchester

/

£18,000

Data Analyst Apprentice

Type: Apprentice
Location: Manchester (M32 9ED)

Most of your apprenticeship is spent working. You’ll learn on the job by getting hands-on experience.

What you’ll do at work

  • Develop and implement databases, data collection systems and data engineering solutions that optimise reporting efficiency and clarity

  • Acquire data from primary or secondary data sources and maintain databases/data lakes

  • Interpret data, analyse results using statistical techniques and provide ongoing reports

  • Identify, analyse, and interpret trends or patterns in complex data sets

  • Filter and “clean” data by reviewing raw data, reports, and performance indicators to locate and correct code problems

  • Work with management to prioritise business and information needs

  • Locate and define new process improvement opportunities

Where you’ll work

Arndale House
Chester Road, Stretford
Manchester
M32 9ED

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

College or training organisation

NOWSKILLS LIMITED

Your training course

Data analyst (level 4)


Understanding apprenticeship levels (opens in new tab)

Your training plan


  • Data Analyst Level 4 (Higher national certificate) Apprenticeship Standard

  • Apprenticeships include time away from working for specialist training

  • You’ll study to gain professional knowledge and skills

Let the company know about other relevant qualifications and industry experience you have. They can
adjust the apprenticeship to reflect what you already know.

Skills

  • Communication skills

  • IT skills

  • Attention to detail

  • Organisation skills

  • Problem solving skills

  • Analytical skills

  • Team working

Other requirements

• A good understanding of data concepts, particularly around structured and semi-structured data sets.

• Theoretical knowledge of SQL language. Any working experience would be a plus.

• Knowledge of at least one programming language. Python, R, Java, C#, etc…

• Proficiency in the use of Microsoft Excel.

• Experience of Microsoft Power BI would be a plus.

• Understanding of ETL platforms would be a plus.

• Strong analytical skills with the ability to collect, organise, analyse, and disseminate significant amounts of information with attention to detail and accuracy.

• Good level of Maths.

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