Job Description

The Senior Data Analyst will also provide data analysis and psychometric support for a variety of English language tests. You will take responsibility for evaluating test data and producing statistical reports to a demanding schedule that requires accuracy and attention to detail.

You must have excellent interpersonal and communication skills for dealing effectively with colleagues at all levels. Critical to your success will be the ability to communicate technical information clearly to specialists and non-specialists as well as your methodical approach with excellent attention to detail. The ability to work as part of a team and to prioritise and time manage projects is essential.

If you have the required qualifications and feel ready for the challenge of working for one of the world's leading assessment organisations, please apply now.

What you'll be doing

• The post holder will play a central role in our process improvement initiative, working with business experts to streamline and automate operational processes, to optimise the efficiency of the department
• The role will involve carrying out statistical and data analysis to ensure our examinations provide valid and accurate results. This encompasses areas such as evaluating the performance of test materials, malpractice detection and examiner monitoring
• The post holder will also be required to provide technical support for ad-hoc data requests and to assist in research activities such as long-term educational development projects and the development of new analysis methods

Required Knowledge, Skills, and Abilities

• A degree, or equivalent qualification, in statistics, mathematics, computing, psychology, language testing, educational measurement, or social sciences, with a strong analytics focus
• Demonstrable SAS software development skills are essential. SAS certification as Base Programmer is desirable. The ability to program in Python, R or SQL is also desirable
• Excellent numerical and analytical skills
• Ability to communicate effectively and work as part of a team
• Ability to prioritise and time-manage tasks and larger scale projects
• Knowledge of statistical methods used in assessment and educational measurement is desirable