Canadian Wildlife Federation / Fédération canadienne de la faune Looking for Data Analyst at Ottawa, Ontario, Canada Full Time

As one of Canada’s largest not for profit leaders in wildlife conservation, research, and advocacy, we are seeking to fill the following position…

Data Analyst

Who we are:

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 create every opportunity to become more inclusive. 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. If you require accommodations during the recruitment process, please notify HR at any time.

Position Summary

CWF is looking to hire a Data Analyst based out of Head Office in Ottawa, ON. Reporting to the Manager of Data Science and Web Development, the Data Analyst plays a crucial role as part of the IT/Operations Team in supporting fundraising initiatives and contributing to conservation science projects.

This position requires a strong foundation in data science and analytics to extract actionable insights, drive data-informed decision-making, increase fundraising effectiveness and enhance the organization’s impact on conservation efforts. The ideal candidate will possess the experience and education mentioned below, in addition to strong problem-solving and communication skills.

Education And Experience

• Minimum Bachelor’s degree in a quantitative or analytical field, such as Data Science, Statistics, or Computer Science.
• 2+ years of data analytics and data science experience.

Core Competencies

• Strong interpersonal skills: A strong ability to collaborate effectively with technical and non-technical staff, works well with teams across the organization and emphasizes a collaborative approach while working.
• Strong problem solver: Structured thinking and problem-solving skills and will persevere to meet business needs despite software constraints.
• Highly adaptable: Ability to learn new web and data platforms as CWF prepares to modernize legacy platforms to modern platforms.
• Effective communicator: Demonstrated and referenceable record of developing well-structured and detailed documentation. The ideal candidate communicates clearly in person and in written form to stakeholders and can communicate and convey complex analytical findings effectively to technical and non-technical stakeholders. The ideal candidate communicates frequently across teams to ensure that the quality of work is addressed and assessed collaboratively.
• Attention to detail: Detail-oriented with a commitment to data accuracy and integrity. The candidate has developed practices throughout their experience that help them to deliver high-quality work.
• Conservation science: Strong knowledge of conservation science principles and datasets or the desire to learn and understand how data can conserve biodiversity.
• Effective prioritization skills: Ability to manage multiple projects and deadlines.

Technology Competencies

• Data analytics, statistical modelling and data science techniques (e.g., machine learning, clustering, classification, predictive modelling, quantitative analysis)
• Data visualization and data reporting for the purposes of decision-making and opportunity discovery
• Data transformations and pipelines
• Proficiency in programming languages such as Python or R
• Experience working with fundraising data and familiarity with donor databases.
• An understanding of software best practices and how these can be applied in the data domain
• Blackbaud Raiser’s Edge NXT and Luminate Online
• SQL, Postgres SQL, MS SQL
• Azure ecosystem, especially Microsoft Azure Data Factory
• Microsoft PowerBI
• Microsoft Excel
• ETL software (e.g., Pentaho DI)
• Experience with code version control (i.e., Git) is beneficial
• Experience with at least one CRM such as MS Dynamics CRM, Raiser’s Edge, Salesforce, etc.

Duties and Tasks

Data Analysis and Visualization:

• Utilize advanced statistical methods and data visualization techniques to analyze and interpret complex datasets.
• Provide insights and recommendations to support fundraising strategies and optimize conservation science projects.

Fundraising Data Management:

• Analyze donor data to identify trends, patterns, and opportunities for donor engagement and retention.
• Collaborate with the fundraising team to create reports and dashboards that facilitate data-driven decision-making.
• Support fundraising campaigns by developing data products that drive the production of campaign materials.

Conservation Science Data Science:

• Work on data science projects related to conservation science, including analyzing biodiversity data, environmental trends, and other relevant datasets.
• Implement predictive modeling and machine learning techniques to derive insights for conservation efforts.

Database Management and Data Integration:

• Manage and maintain databases relevant to fundraising and conservation science initiatives.
• Ensure data accuracy, integrity, and security in compliance with organizational standards.
• Build the infrastructure required for optimal extraction, transformation, and load of data from Blackbaud Raiser’s Edge. Develop, manage and update pipelines for transformation, import and integration of external datasets into Blackbaud Raiser’s Edge.
• Maintain quality control over Raiser’s Edge data entries and participation in the development of procedures to ensure quality control.

Reporting and Documentation:

• Generate regular reports and documentation summarizing key findings from data analyses.
• Communicate results to diverse audiences, including fundraising teams, conservation scientists, and organizational leadership.
• Develop internal documentation to ensure data is well documented and understood across the organization and workflows are reproducible.
• Contribute to a data governance program by developing and implementing practical solutions and ensuring that policies are up-to-date and effective.

User Training and Support:

• Work with stakeholders including the Executive, Finance, Legacy, Fundraising, Telemarketing and Operations teams to assist with data-related technical issues and support their data infrastructure needs.
• Collaborate with cross-functional teams, including fundraising, conservation science, and IT, to integrate data analytics into organizational projects.
• Provide analytical support for interdisciplinary projects that intersect fundraising and conservation science

Continuous Learning and Innovation:

• Stay current with advancements in data science methodologies and tools.
• Innovate and explore new approaches to enhance the organization’s data analytics capabilities.
• Expertise on Microsoft Co-Pilot or Chat GPT in the context of prompt engineering is beneficial

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Work Conditions

• Permanent, full-time at 37.5 hours per week typically Monday through Friday. Occasional overtime.
• Location: Head Office in Ottawa, ON (Kanata) with hybrid flexibility to work from home two consecutive days per week.
• Working in a busy office environment with frequent interruptions.
• Manual dexterity required to operate computer and peripherals.
• Usually works independently with frequent team check-ins.
• Interacts with employees, and various management levels.

Why work with us?

• Opportunity to make a tangible difference in Canada’s conservation efforts.
• We are a rapidly growing team of forward-thinking individuals who all share a common passion, the Canadian outdoors!
• Recently renovated office including living plant wall, kitchen lounge, and demonstration gardens on the property.
• Friendly and casual work environment
• Transparency between various levels of management
• We are committed to building a more diverse workforce
• Work-life balance
• Complimentary enrollment in benefits package and Employee and Family Assistance Program (EFAP), enrollment in group RRSP with up to 5% matching.
• 13 statutory holidays per year, 3 paid float days, 24 hour appointment time, 10 sick days per year, 2 weeks vacation entitlement upon hire with scheduled increases above Employment Standards requirements.
• Opportunity to expand your network of IT, fundraising, education, conservation, and program experts.

APPLICATION DEADLINE: This position will remain posted until filled.

HOW TO APPLY: Cover letter and resume should be submitted online. Only the candidates who meet the qualifications and experience for the position will be contacted for an interview. We thank you for your interest in the Canadian Wildlife Federation.

We are committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that job applications please identify any accommodation requirements by contacting the Human Resources department when selected for an interview.

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