435 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "UNIV" uni jobs at Harvard University
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with team members to analyze and resolve data and pay discrepancies. Proactively monitors and resolves issues with employee pay errors including Time & Labor and Absence Management as well as data
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platforms, media economics and economics of digital platforms, emerging financial technologies and alternative data, political economy and empirical corporate finance, R&D strategy and the economics of
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oversight of study protocols, managing regulatory submissions, facilitating IRB communications, tracking project milestones and budgets, and supporting training and data collection activities at multiple
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well as responding to emergencies. Possesses the ability to make sound and immediate decisions and solve problems, including thoroughly gathering information to inform problem-solving. Strong written and oral
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including design, execution, and QA; proactively manage calendar and collect content, data, and scheduling details from clients and stakeholders Establish KPIs, set up tagging/tracking, monitor performance
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are required; must be able to communicate effectively with and relate to various personnel through the University. Additional Information Appointment End Date: This is a one-year term position from the date
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to 2 days a week. The position is anticipated to last at least 2 years, with the possibility of renewal. The successful candidate will be able to work autonomously, while performing high level data
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primary contact for housing and leasing information to Harvard University affiliates. These efforts will enhance HUH’s ability to meet the University’s goal to support vibrant campus neighborhoods, strong
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leadership, and we are a strong community that values diversity. For more information about HGSE, its programs, research, and faculty, please visit: www.gse.harvard.edu . Job Description Reporting to the Chief
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specific duties are carried out under the direction of a CBAR senior statistician: Conduct ongoing, periodic and final analyses of data, using specialized statistical techniques and statistical programming