The role will be instrumental in transforming complex data sets into actionable insights, handling ad hoc stakeholder requests, and developing robust data analysis infrastructure.

Responsibilities

• Impact Definition: Partnering with teams to articulate their measures of social impact and how they will measure success.
• Impact Analysis: Design and execute in-depth analyses to measure the impact of our work.
• Insight Communication: Translate complex data findings into clear, visually compelling reports, presentations, and dashboards customised for diverse collaborators.
• Ad Hoc Analysis: Respond effectively to data-driven queries from various collaborators, providing prompt and accurate analysis.
• Collaboration: Work closely with GDI teams to understand their data needs and drive project objectives based on insights.
• Data Infrastructure Development: Build and maintain data pipelines and processes to ensure clean, organised, and accessible data.

Skillset

• A Bachelor’s degree in Economics, Statistics, Mathematics or a related field.
• 7+ years of statistical analysis and modelling experience, including hypothesis testing, regression modelling, causal inference and trial design.
• 7 + years of data science experience working with relevant programming languages (e.g. Python, SQL) and techniques (e.g. supervised and unsupervised machine learning, clustering).
• 3+ years of experience evaluating and communicating scientific, social or economic impact, for example by developing and implementing impact measurement frameworks to inform decision-making and communication.

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