Data analyst-statistician
Also called Statistics officer.
Data analyst-statisticians collect data and statistics to identify trends, create forecasting models and help organisations to improve their service.
- Potential salary
- £28,000 starter to £65,000 experienced per year
- Typical hours
- 37 to 40. Working pattern: between 8am and 6pm.
- Career area
- Digital and data
- Where they might work
- You could work in an office.
- A typical task
- help to design scientific research studies
- Subjects that may help
- 2 or 3 A levels, or equivalent, including maths
- Typical route
- You'll usually need a degree or postgraduate qualification in:
- Interest area used here
- Asking questions and research, Organising information and detail
What you might do
- help to design scientific research studies
- gather and organise data ready for analysis
- check the quality of data and remove exceptions
- use analytical tools and techniques to find patterns, trends and relationships
- develop artificial intelligence methods to automate work on large datasets
- create models to predict likely outcomes, for example in weather forecasting
More tasks (3)
- prepare analyses in different formats, such as graphs
- present findings to clients and policy makers to help them make decisions
- use and store data in line with data protection and information security standards
Could this suit me?
Consider which of these skills and ways of working appeal to you.
- maths knowledge
- analytical thinking skills
- to be thorough and pay attention to detail
- excellent verbal communication skills
- the ability to think clearly using logic and reasoning
- persistence and determination
More skills
- the ability to work on your own
- concentration skills
- to have a thorough understanding of computer systems and applications
Routes into this career
University route
- You'll usually need a degree or postgraduate qualification in:
- statistics
- mathematics
- economics
- operational research
- psychology
- You may be able to apply for jobs if you have a degree in a subject that included statistics as part of your course, for example social science or geography.
- Courses that give you the chance to spend a year in industry or get work experience through placements, internships or real business projects may give you an advantage when you are looking for graduate jobs.
- You'll usually need:
- 2 or 3 A levels, or equivalent, including maths
- a degree in a relevant subject for postgraduate study
- equivalent entry requirements
- student finance for fees and living costs
- university courses and entry requirements
University courses that could lead to this career
These are course families, not published offers. A link does not mean the degree is sufficient on its own.
- Computer science
Alternative route. Statistics degrees are closer for the statistician title.
- Data science
Common route. Closer to the analyst title. The statistician title often expects a stronger mathematics or statistics degree.
- Financial Mathematics
Alternative route. Possible where the statistics content is strong.
- Mathematics
Common route. A strong route, especially with statistics options.
- Statistics
Direct qualifying route. A statistics degree is a direct academic route into statistical work.
Apprenticeship or vocational route
- You could apply for an apprenticeship to get a trainee position, such as:
- Software and Data Level 2 Foundation Apprenticeship
- Data Technician Level 3 Advanced Apprenticeship
- Data Analyst Level 4 Higher Apprenticeship
- Data Scientist Level 6 Degree Apprenticeship
- If you want to work in health data analysis, you may be able to do a Medical Statistician Level 7 Degree Apprenticeship.
- You can apply for a foundation apprenticeship if you're aged 16 to 21.
- If you're aged 22 to 24, you can apply if you:
- have an education, health and care (EHC) plan
- are in care or have been in care
- are in prison or have been in prison
- You'll usually need:
- no specific qualifications or experience to apply for a foundation apprenticeship
- 5 GCSEs at grades 9 to 4 (A* to C), or equivalent, including English and maths, for an advanced apprenticeship
- 4 or 5 GCSEs at grades 9 to 4 (A* to C) and A levels, or equivalent, for a higher or degree apprenticeship
- equivalent entry requirements
- guide to apprenticeships
Other routes
- You may be able to start in a junior position after completing a college course. Relevant courses include:
- maths
- statistics
- computing
- economics
- T level in Digital Data Analytics
- Entry requirements for these courses vary.
- 4 or 5 GCSEs at grades 9 to 4 (A* to C), or equivalent, including English and maths for a T Level
- equivalent entry requirements
- funding advice
- guide to T Levels
- search for courses
Career progression
- You can use your skills to work in a lot of different areas, for example healthcare, finance, environment, sports and e-commerce.
- With experience, you could:
- become a senior or lead data analyst, or data team manager
- work as a freelance consultant
- move into teaching and academic research
- become a data scientist , developing artificial intelligence (AI) tools to help businesses overcome challenges and be more efficient
Subjects that may help
Subject guidance
- 2 or 3 A levels, or equivalent, including maths
- a degree in a relevant subject for postgraduate study
- 4 or 5 GCSEs at grades 9 to 4 (A* to C), or equivalent, including English and maths for a T Level
- no specific qualifications or experience to apply for a foundation apprenticeship
- 5 GCSEs at grades 9 to 4 (A* to C), or equivalent, including English and maths, for an advanced apprenticeship
- 4 or 5 GCSEs at grades 9 to 4 (A* to C) and A levels, or equivalent, for a higher or degree apprenticeship