Apply Now

To apply for this role, email us with your CV by clicking the link below.

By clicking “Submit Application”, you agree to our privacy and cookie policy.

Submit application

As a Data Analyst within the Characterisation Team you will be responsible for interrogating data being reported automatically from our global manufacturing sites and providing statistical analysis and reports to a range of teams within the company. Working closely with the engineering teams you will support and acceptance analysis on new metrology system designs.

The role

  • This is an opportunity to work with a high calibre test team in our new state-of-the-art facilities in Abingdon, Oxfordshire
  • Reporting to the Head of Characterisation you will be part of a team who are responsible for bring up, debug and characterisation of WaveOptics Augmented Reality waveguides, projectors, and module product family
  • The Characterisation team are responsible for identifying, defining and delivering through to completion, the testing and metrology methods both for imaging and non-imaging systems (such as luminance, uniformity, colour, MTF, stray light) across manual and automated test regimes
  • Extract and perform statistical analysis on production and R&D data to draw meaningful conclusions on device performance
  • Review and interpret results and communicate findings across the development teams.
  • Develop and deliver data assets – Dashboards, query outputs and investigations
  • Maximise results through the setting and monitoring of KPI’s
  • Define new process improvement opportunities
  • Act as part of a multi-disciplinary team to deploy measurement capabilities globally.

What we like to see

  • BSc or Masters in a technical discipline (Sciences, Computer Science, Engineering…)
  • Python Programming Experience
  • MS Excel data manipulation and Visualization
  • Highly analytical with a focus on presenting clear and concise analysis and conclusions.
  • Familiarity with SQL or other database architectures.
  • Experience with statistical methods.


  • Experience with statistical software packages (JMP, Minitab, etc)
  • Experience with statistical methods used in production environments.
  • Background in optics or image analysis

Written by