Analyze complex datasets for the Canadian Wildlife Federation in hybrid Ottawa work, using statistical methods and visualization to guide decisions.
The Data Analyst supports fundraising and conservation initiatives by identifying trends, producing insights, and developing practical data-driven information. Working with internal teams, this position combines database management, reporting, integration, and user support. The role also helps maintain accurate, secure, and practical organizational information.
Key Responsibilities: Analyze complex datasets using statistical methods and visualization techniques
Identify donor trends and opportunities for engagement and retention
Apply predictive modelling and machine learning techniques to data projects




Manage fundraising and conservation science databases
Generate reports and communicate findings to diverse audiences
Requirements: Bachelor’s degree in a related analytical or technical field
Minimum two years of related data analysis experience
Experience analyzing information from complex databases
Experience with Raiser’s Edge or similar CRM database
Experience with data extraction, integration, and reporting
Support CWF’s conservation mission through data analysis, donor insights, database management, and clear reporting in Ottawa.

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📌 Data Analyst Fundraising Conservation (Quebec City)
🏢 Canadian Wildlife Federation
📍 Quebec City