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The Bloomberg Center for Public Innovation at Johns Hopkins University (the Center) seeks an i-team Data Analytics Manager, Nashville, TN to support a new Nashville Innovation Team (“i-team”). Innovation Teams unlock creativity from within city governments and the communities they serve. These teams take partners and stakeholders through an evidence-based process to tackle the big problems in their cities no one has yet been able to solve, generate more ambitious responses, and test and adapt interventions until they produce impact. They also work closely with the Mayor, the City's leadership team, and City departments to change the culture of city government. Nashville is one of 25 U.S. cities joining Bloomberg American Sustainable Cities. Bloomberg American Sustainable Cities is a three-year initiative to develop and deliver bold local solutions that improve people’s lives. The Data Analytics Manager will create and execute the i-team’s approaches for using quantitative data and methods to understand complex issues at the intersection of climate and racial equity as part of the Bloomberg American Sustainable Cities initiative. The ideal candidate will have a strong background in data analytics, be proficient in a general programming language (like Python) or a statistical package (R), and an appetite for engaging in non-quantitative aspects of the innovation process. The Data Analytics Manager is an employee of Johns Hopkins University and based in City Hall of Nashville. They report to the i-team Director. The first of its kind in the world, the Center is advancing the field of public sector innovation by marrying cutting-edge practice with world-class research to transform the culture of government, deliver exceptional results for residents, and inspire trust in public service. The Center is committed to working with communities focused on ending legacies of structural, entrenched racism and oppression. The Data Analytics Manager must be willing to think about reimagined government, knowledge, and engagement models through the lens of dismantling these legacies.