How to become a data analyst-statistician

You can get into this job through:

  • a university course
  • an apprenticeship
  • a graduate training scheme

University

You'll usually need a degree or postgraduate award in

  • statistics
  • mathematics
  • economics
  • operational research
  • psychology

Other subjects may be acceptable if they include formal training in statistics as part of the course, for example social science or geography.

Some university courses offer an industrial placement or sandwich year, which allows you to work in industry or commerce as part of your studies. This could be useful when you look for jobs after you finish your course.

Entry requirements

You'll usually need:

  • 2 or 3 A levels, or equivalent, including maths
  • a degree in a relevant subject for postgraduate study

More Information

Apprenticeship

You could start off in a junior data analysis role through a data technician advanced apprenticeship.

You could go on to a data analysis higher apprenticeship.

Entry requirements

To get onto an apprenticeship, you'll find it useful to have:

  • 5 GCSEs at grades 9 to 4 (A* to C), or equivalent, including English and maths, for an advanced apprenticeship

More Information

Volunteering

The Royal Statistical Society advertise volunteering opportunities, which give you the chance to use your skills to help community organisations and charities. This is a good way to increase your understanding of how statistics can be put to good use in wider society.

Other Routes

You can apply to join the Government Statistical Service (GSS) as a trainee through the Civil Service Fast Stream programme. You'll need a good degree pass or postgraduate qualification to do this.

The GSS also directly recruits graduates, and those with equivalent and relevant experience, into positions like statistical officer.

More Information

Career tips

Some employers will expect you to have a working knowledge of statistical software packages, like Statistical Package for the Social Sciences (SPSS).

Further information

You can find out more on careers in statistics from the Royal Statistical Society.

What it takes

Skills and knowledge

You'll need:

  • maths knowledge
  • analytical thinking skills
  • to be thorough and pay attention to detail
  • knowledge of computer operating systems, hardware and software
  • excellent verbal communication skills
  • thinking and reasoning skills
  • the ability to read English
  • the ability to think clearly using logic and reasoning
  • to be able to use a computer and the main software packages competently

What you'll do

Day-to-day tasks

Depending on the industry or sector, you might:

  • look for trends and patterns to help make business, policy or organisational decisions
  • analyse market research and trends in consumer feedback
  • analyse opinion polls
  • predict demand for services or goods
  • check quality control standards in areas like drug and food testing

Working environment

You could work in an office.

Career path and progression

With experience, you could progress into management, move into academic research or work as a freelance consultant.

Current opportunities

Apprenticeships In England

Business/Market Data Analyst Apprentice - 69893

  • Wage: £16,000.00 - £18,000.00 Annually
  • Location: Redditch

Apprentice Data Technician

  • Wage: £10,000.00 Annually
  • Location: Goole

Courses In England

A Level Statistics

  • Provider: RAWLINS ACADEMY
  • Start date: 25 August 2021
  • Location: Loughborough

Statistics A Level

  • Provider: SHREWSBURY COLLEGES GROUP
  • Start date: 01 September 2021
  • Location: Shropshire

Jobs In the United Kingdom

The Find a job service can help you with your search for jobs and send alerts when new jobs become available.

Skills assessment

Take an assessment to learn more about your skills and the careers that might suit you.

Get help using this service

Call 0800 100 900 or use webchat

8am to 10pm, 7 days a week

More ways to contact us

Is this page useful?

Yes No

Thank you for your feedback.

Thank you for your feedback. Click here if you'd like to let us know how we can improve the service.