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London Funders in London is seeking a Data Partnerships Manager to drive the use of data and analytics for urban health impact. This role will help identify high-priority data projects and design partnerships with external experts, practitioners and enterprises to inform programme decisions.
The post focuses on strengthening data use across our programmes, integrating external data sources, and maximizing value from internal data to reduce health inequalities in inner-city areas through
Contract: Permanent
Interview dates: First round: 9 and 10 May /Second round: 16 May
At Impact on Urban Health, we aim to be at the leading edge of philanthropic approaches. Crucial to this is using data and analytics to leverage our impact. We want to work with a broad range of data sets for genuine strategic and tactical insight. This role helps us to accelerate our capability in these fields.
The Data Partnership Manager role will focus on strengthening the application of data insights – from identifying high priority data projects, through to helping us design partnerships with key stakeholders including external experts, practitioners and enterprises to working with our programmes team to draw insights from the data projects.
We think it is possible to reduce health inequalities in inner-city areas. Our investments empower people to lead healthy lives in Lambeth and Southwark and demonstrate the power of a long-term approach to complex health issues. We improve health working jointly with Lambeth and Southwark residents, local and national government, community and private sector partners. By doing this, we aim to inspire others in the UK and abroad to create better health.
We’re looking to recruit an individual with skills in building relationships, critical analysis and project management to join our Data and Analytics team. This opportunity will focus on strengthening the use of data and analytics by better integrating the use of external data into and analytical expertise into our urban health work, as well as finding opportunities to optimize use and value of our existing internal data and insight.