Position Summary

This role is a 2-year Consultant role dedicated to one of the most exciting projects ever undertaken by the Selection team – revamping our Fellowship Selection Model. 

Co-designing and implementing a long term research and analysis program to ensure our selection model leads us to efficiently identify those applicants likely to be excellent teachers and leaders of our movement Churning out data insights post analysis, discovering trends and patterns, turning the raw data into valuable insights, using state of the art features to mine data Doing ad-hoc analysis and presenting findings in a manner that is clear, easy and exciting for stakeholders to deeply engage with Designing and implementing pilots based on the insights generated through rapid iterations through the year Collaborating with and investing key stakeholders – including staff (Training and Impact/Program, etc.), Fellows, Alumni and external partners – in the selection process and the role they have to play in ensuring we are efficient and accurate in our evaluation of applicants  Co-designing systems and processes which ensure we can implement the selection model and meet our vision and goals efficiently, with accuracy and in a way is sustainable Monitoring and tracking effectiveness and impact of the model while holding the quality conversation and co-arriving at quality indicators with the training team Problem-solving through the various challenges which arise during the selection process through the design and implementation of strategic solutions which are both immediate and sustainable long-term. 

Team Overview

Responsibilities

Additional Responsibilities

Knowledge and Technical Skills

Competencies and Abilities

Values and Mindsets

Education and Experience

Minimum Qualifications, Experiences and Expectations

Graduate with 2+ years of work experience (comfort with technology and data analytics preferred) Exceptional English language communication skills – both written and verbal End-to-end project management experience (from vision setting to execution). A background in research and data analysis, proficient in MS Office/Google suite (such as PowerPoint or google slides) Believe that every child deserves an excellent education and that every single child can be successful academically whatever their background.

Preferred Qualifications, Experiences and Expectations

A curiosity to understand, deep dive and derive big and small insights from large volumes of qualitative and quantitative data; high levels of ownership to initiative and explore ongoing and ad hoc research questions.  Strong applied statistical skills such as distributions, statistical testing, regression, experience with SPSS and other statistical tools. Experience or interest in working with data science toolkits such as R, Python, Matlab, etc.  Data visualisation skills and experience working with tools such as Tableau, etc.  Knowledge of applying tools like NLP, sentiment analysis for large scale selection models. Project management skills and ability to manage complex projects with many moving parts and stakeholders, ensuring high-quality outcomes in a tight timeframe. Great communication skills for communicating insights in the most accurate and effective way  Strong interpersonal skills, which enable you to build meaningful relationships with diverse others and invest them in a role or purpose, and a focus on collaborating with others to generate ideas, find aspects of collaboration, conduct interviews and access the information required for research  Solution-oriented approach when faced with challenges, and ability to identify and implement solutions to complex challenges rapidly. High sense of possibility and an anything-it-takes attitude. Growth-oriented mindset and a drive to develop self as well as to challenge and improve existing systems and approaches. Data-driven and results-oriented , yet with a ‘purpose-over-process’ approach to work. Risk-taking appetite and ability to balance stability with innovation and experimentation Excitement and stamina to work in a high-stakes, deadline-driven environment