Data Analyst

Oak National Academy

Employment Type Full time Worked over 4.5 days or 9 day fortnight
Location Remote · UK Fully Remote (United Kingdom)
Salary Starting from £42,675 (GBP)
Team Product
Seniority Junior, Mid-level
  • Closing: 9:00am, 22nd Nov 2023 GMT

Perks and benefits

Flexible working hours
Work from home option
Retirement benefits
Life Insurance
Employee Assistance Programme
Additional parental leave
Enhanced maternity and paternity leave
Paid emergency leave
Extra holiday
Professional development
Payroll giving
Team social events
Equipment allowance

Candidate happiness

8.66 (4482)

Job Description

Job: Data Analyst

Responsible to:  Senior Data Analyst

Team: Product and Engineering

Term: Permanent

Hours:  36 hours per week (if full-time – flexible arrangements will be considered. Our core working days are Tuesday, Wednesday, Thursday, to allow effective collaboration time with colleagues).

Line management responsibility: None

Budget responsibility: None

Key external relationships: None

DBS: An enhanced DBS check may be required for this role.


  • Provides support for ensuring data and analytics drive knowledge, insights and shared context for the organisation.

  • Drives the continuous improvement and quality of Oak’s insight generation tools, ensuring the organisation is supported to draw insight from Oak’s data.

  • Produce and maintain high-quality visualisations that support both internal and third party educational research and insights.

  • As a member of the Oak Team, contribute to the planning and culture of the organisation.

  • Work in cross-functional and product oriented squads with colleagues from across the organisation, as required.

  • Support all work across Data and Analysis and take on other general responsibilities as required.

Knowledge, skills and experience

  • Demonstrable experience and understanding of conducting data analysis, generating insights and visualising data.

  • Comfortable working with stakeholders from non-analytical backgrounds, gathering requirements, and translating them into structured analytical questions and approaches.

  • Highly data literate with a good working knowledge of data types, the use of basic descriptive statistics (e.g. mean, standard deviation), and how to use data visualisation tools and techniques effectively to communicate insight.

  • Ability to logically structure approaches to data transformation and analysis (e.g. sequentially / modularly) coupled with a strong understanding of how analytical programming languages (e.g. SQL, Python, R etc) can be used to support this.

The successful candidate will have a desire to contribute in all areas to ensure Oak is successful. You will be comfortable working at pace, with a range of digital systems (including proprietary ones as required) and you will continuously look at ways that the team can keep getting better. You will be excellent at working as part of a remote team, building relationships and managing your time effectively.

Removing bias from the hiring process

Applications closed Wed 22nd Nov 2023


Removing bias from the hiring process

  • Your application will be anonymously reviewed by our hiring team to ensure fairness
  • You’ll need a CV/résumé, but it’ll only be considered if you score well on the anonymous review

Applications closed Wed 22nd Nov 2023