Job Board

Project: Clean, Transform, Restructure and Manage a Large Database on Canadian Charities

Time: 10 hours per week for at least 10 months, starting in September 2018

A team of social scientists based in the School of Public Policy and Administration (SPPA) is beginning a SSHRC-funded multi-year project to study the financial viability of Canada’s 86,000 charities.  The analysis will be based on the annual charitable tax returns (from 2000- 2017) that are available as open data from the Canada Revenue Agency. This database must first be cleaned and verified, and then linked to other open data sets; additional online information may need to be scraped to add to the database.  The Graduate Student Research Assistant (RA) will take the lead in this work, working closely with a faculty member.  Strong skills in data management are required.  Ideally, the student will also then be able to assist with statistical analyses (although this task could be separate).   The RA must be interested in working with a multi-disciplinary team of social scientists as a full member of the research team.

The work is 10 hours per week @ $30/hour, likely for a year, possibly longer.

Please email a statement of interest and qualifications with a cv by August 25^th  to:

Professor Susan Phillips, School of Public Policy and Administration

Susan.phillips@carleton.ca

Digital Opportunity Trust (DOT) (www.dotrust.org) is a Canadian-based non-profit that works in 25 countries, supporting youth to become innovators and leaders, and to create and apply digital solutions that have positive impact in their communities. DOT works with youth, the private sector, governments, and community-based organizations towards a collaborative vision of communities around the world shaped by daring social innovators. We are looking for a passionate, certified Data Analyst to work on an exciting and collaborative international research initiative covering fifteen countries. This is a consultant position that can be based in our Ottawa office, or remotely. Reporting to DOT’s Director of Research and Learning, the successful candidate will use big data methods and advanced data management techniques to turn data— both structured and unstructured—into information and information into insight.

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