Reports to : Director of Information Management and Technology

Location : Hybrid in Ottawa (3 days a week from Kanata Office)

The Canadian Wildlife Federation (CWF) is a national not-for-profit charitable organization dedicated to ensuring an appreciation of our natural world and a lasting legacy of healthy wildlife and habitat. By spreading knowledge of human impacts on the environment, developing and delivering educational programs, conducting research, promoting the sustainable use of natural resources, and advocating for effective wildlife policy and regulation, CWF strives for a future in which Canada’s wildlife is conserved for generations to come.

Diversity is a fundamental part of our core values; We encourage applications from qualified candidates from all diverse communities, including but not limited to, Indigenous persons, racially visible persons, people with disabilities, 2SLGBTQ+, and women in non-traditional roles.

The Data Analyst plays an important role in helping the Canadian Wildlife Federation (CWF) use data to better understand and engage its supporters and inform fundraising and conservation initiatives. The position analyzes complex datasets, identifies trends and insights, and develops data-driven information that supports decision-making across the organization.

Working with fundraising, conservation and other internal teams, the Data Analyst also supports the management, integration and quality of organizational data, helping to ensure information is accurate, secure and useful. The role combines data analysis, database management,



reporting and user support, and is well suited to someone who enjoys turning complex data into meaningful insights and practical solutions.

Data Analysis & Insights

Utilizes advanced statistical methods and data visualization techniques to analyze and interpret complex datasets.

Provides insights and recommendations to support fundraising strategies and to optimize conservation science projects.

Analyzes donor data to identify trends and opportunities for donor engagement and retention.

Conducts data analysis for key data science projects, implements predictive modelling and machine learning techniques to derive data insights.

Database Management & Integration

Manages databases for fundraising and conservation science initiatives.

Supports campaigns by developing data products that drive the production of campaign materials.

Ensures data accuracy, integrity, and security.

Develops infrastructure for data extraction, transformation, and integration and imports of various datasets into required platforms.

Maintains quality control over entries into Raiser’s Edge and in the development of related procedures.

Provides user training and support for data-related technical issues.





Develops documentation for data understanding and reproducible workflows.

Bachelor’s degree in Computer Science, Statistics, Science, Data Analytics or a related field.

Minimum of two (2) years of related experience in data analysis, database management or a similar role.

Experience working with and analyzing information from complex databases.

Experience working with Raiser’s Edge or a similar donor/customer relationship management (CRM) database.

Experience with data extraction, transformation, integration and reporting.

Experience using statistical analysis and data visualization techniques to identify trends and communicate insights.

Typically working Monday through Friday for 37.5 hours per week.

Location: Ottawa (Hybrid in Kanata Office 3 days a week)

Skill, coordination, and/or speed are required for use of a computer and typing (frequent)

Friendly and casual work setting.

- Expand your professional network within science, education, and fundraising sectors.
- We are committed to building a diverse workforce.
- We offer a competitive benefits plan at no cost to employees which include health, dental, vision, and LTD. Enrollment to Employee Assistance Program.
- 13 paid stat holidays per year.
- Generous time-off policies include paid vacation days, sick days, float days, and appointment time.
- Anticipated Start Date : January 2027

AI Statement: CWF does not use artificial intelligence (AI) tools to screen, assess, or select applicants.

📌 Data Analysis Specialist (Ottawa)
🏢 Canadian Wildlife Federation
📍 Ottawa