Data Engineer jobs in Canada

GivingTuesday is a global generosity movement unleashing the power of people and organizations to transform their communities and the world. The organization works with partners across sectors and borders to understand the drivers and impacts of generosity, explore giving behaviors and patterns, and use data to inspire more giving around the world. GivingTuesday offers the largest philanthropic data collaborative effort in the social sector — with unique, granular datasets from a wide range of organizations featuring key sector information.

As we scale up, we are expanding our team of data analysts, scientists and engineers, who will continue to grow and improve our unique data assets, methodologies, and technical infrastructure.

In pursuit of the goals and expansion of the data commons, GivingTuesday partners with key organizations to leverage their expertise to manage and lead different aspects of the work. These data & technology partners (DARO, With Intent) manage staff, projects, and ongoing functions for the data commons with dedicated staff embedded in GivingTuesday in those capacities in cross-functional roles. This role is one of these positions - managed by our partner organizations but embedded in GivingTuesday’s Data Team.

Data Analyst

Our global data science team works on a diverse set of problems and projects related to learning, insights, and impact measurement in the nonprofit sector. We are looking for a Data Analyst to join our growing team, where they will work with data engineers, analysts, scientists and other team members to develop compelling and useful knowledge products for GivingTuesday stakeholders, including academics, data partners, the social/nonprofit sector, and the general public.

• Creating impactful data visualizations and interactive data dashboards
• Querying meaningful metrics and writing reports
• Processing, cleaning, validating, and analyzing a wide range of traditional, structured data from organization partners and collaborators in the nonprofit ecosystem in order to generate actionable insights for the sector
• Organizing, examining, and managing datasets
• Delivering briefings and rapid-response/ad-hoc data analysis to support the Chief Data Officer
• Coding and updating data pipelines to automate recurrent operations on core datasets for research projects

• Experience with analysis in a research context, conducting exploratory analysis and mapping data flows, integration of datasets, and reviewing data sources and tools
• Familiarity with statistical methods including hypothesis testing, regression analysis, and sampling techniques
• Experience working with scripting languages (Python, R) and data querying languages (SQL)
• Data vizualisation skills and an aptitude for translating technical outputs into compelling stories
• Experience with software development tools and practices (e.g. version control)
• Strong written and oral communication skills in English and an ability to communicate clearly and directly
• Interest in the nonprofit and philanthropic sector and in the use of data to promote better social outcomes

Remote.

We are happy to consider applicants based in countries outside of where this is posted.

This is a full-time position. We are looking for candidates who can overlap with a 9:00 to 5:00 EST work-day, with some flexibility.

Our compensation is competitive and tailored to align with cost-of-living differences across various regions. We look forward to meeting candidates from diverse backgrounds who can bring unique perspectives to our team!

For applicants in Canada, our expected salary range is $65,000 to $80,000 CAD per year.

GivingTuesday is committed to a work environment where our employees feel included, valued, and heard. If you require any accessibility accommodation in the interviewing process please let us know.

We know that applying for a job takes a lot of time and energy and we treat every application with care and attention. Only those applicants who are selected will be contacted. To apply, please provide your resume and a short cover letter describing your interest in the position.

We want to hear from you, in your own words. Submissions that reflect your personal perspective will stand out more than those written by AI tools.