Time commitment: ~3–4 days per week, variable by phase. Duration: period tbc. Start-asap
OCH's global research team conducts large-scale, multi-country survey research and has developed a growing library of quantitative datasets and segmentation outputs across geographies. We are looking for an experienced quantitative analyst to join the team and contribute across a range of analytical work — from foundational data preparation and exploration through to advanced statistical modelling.
The core analytical focus of the role centres on two interconnected workstreams: the rigorous development of survey-based clustering and segmentation models, and the design of a classification framework that allows new respondents to be assigned to existing segments efficiently and reliably. Beyond this, the analyst will also handle day-to-day data management tasks including dataset cleaning, variable harmonisation, and exploratory cross-tabulation work. The role sit...