Role Description Reporting to the Manager, Data Science & Web Development, the Data Analyst at the Canadian Wildlife Federation (CWF) plays a pivotal role in enhancing the donor experience by utilizing statistical methods and data visualization techniques to analyze datasets and provide insights that support fundraising strategies and optimize conservation projects. This position plays an active role in ongoing data operations, including data management, integration, and ensuring data accuracy, integrity, and security. The Data Analyst also provides reporting, documentation, and user support to enable effective use of data across the organization. Duties and Responsibilities - Data Analysis & Insights: - Uses statistical methods and data visualization techniques to analyze and interpret datasets. - Provides insights and recommendations to support fundraising strategies and optimize conservation projects. - Analyzes donor data to identify trends and opportunities for donor engagement and retention. - Performs data analysis for key fundraising and conservation initiatives. - Applies predictive modelling and machine learning techniques to derive data insights. - Extracts and transforms data and develops data pipelines required for campaign execution. - Data Management & Integration: - Ensures data accuracy, integrity, and security across systems and outputs. - Supports the extraction, transformation, integration, and input of various datasets and data tools into required platforms. - Maintains quality control over entries into Raiser’s Edge and cloud-based systems (including Salesforce Non-profit Cloud, Marketing Cloud, Form Assembly, and Salesforce Data Cloud) and supports related procedures. - Prepares queries and transforms, validates, and performs quality controls on data used for donor tax receipt generation. - Uses various Microsoft-based AI tools and frameworks to support CWF data privacy, security, governance, and data-related innovation needs. - Reporting, Documentation, & Support: - Generates reports and communicates findings to diverse audiences. - Provides user training and support for data-related questions and technical issues. - Develops and maintains documentation to support data understanding and reproducible workflows. - Maintains data dictionaries and contributes to data management practices across the data lifecycle. Qualifications - Bachelor’s degree, or an equivalent combination of education and experience, in Computer Science, Statistics, Science, or a related field. - Experience in Education, Environmental Studies, Community Development, or a related field. Requirements - Employee primarily works in an office or home-office environment. - Employee may be exposed to mental stress due to: - Managing conflicting demands from multiple work activities. - Disruptions from urgent or last-minute requests. Benefits - Join a team of passionate individuals dedicated to wildlife and habitat conservation. - Friendly and casual work environment. - 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. - We offer Group RSP enrollment with up to 5% matching. - 13 paid stat holidays per year. - Generous time-off policies include paid vacation days, sick days, float days, and appointment time. - Complimentary subscription to Canadian Wildlife magazine. Application Deadline June 7, 2026 Anticipated Start Date June 29 – July 6, 2026 How to Apply Interested candidates are instructed to submit a cover letter and resume. Only those selected for an interview will be contacted. We thank all applicants for their interest in the Canadian Wildlife Federation!

• Streamline internal processes for data requests, data sharing, and reporting • Help to manage and improve existing reporting and self-service data capabilities • Provide data outputs that help internal teams understand program impacts • Collaborate with stakeholders to identify key data insights and ensure data quality • Provide timely ticket response to ad hoc data requests • Create new and maintain existing analytics dashboards to track key metrics • Establish cross-departmental relationships grounded in trust • Act as a data resource across departments and help with data interpretation • Align programmatic needs and data infrastructure • Collaborate to improve data processes and increase efficiency

• Report directly to the Chief People Officer (CPO) and serve as a strategic thought partner on compensation and People Analytics initiatives • Own and execute the end-to-end compensation cycle, including modeling increases, promotions, band updates, calibration support, and budget tracking • Consolidate, clean, and structure People data across HRIS, ATS, and Finance systems in partnership with People Ops to create scalable, reliable datasets that enable meaningful analytics • Manage off-cycle compensation adjustments, market reviews, and new hire band alignment • Build, refine, and maintain scalable compensation bands and benchmarking frameworks • Design and own advanced People Analytics to drive deep insights and inform Front’s people strategy • Provide People Analytics and insights for executive audiences and the Board of Directors • Lead analytics for the semi-annual engagement survey, including reporting, insight generation, and actionable recommendations • Partner with the CPO on executive-level reporting including attrition trends, headcount strategy, retention analysis, engagement insights, and talent health metrics • Deliver quarterly compensation reports to benchmarking partners such as Radford • Partner closely with Finance on headcount planning, scenario modeling, and compensation budget alignment • Identify opportunities to reduce manual modeling work through improved spreadsheet architecture, automation, and AI-enabled workflows • Act as a strategic thought partner in evolving Front’s compensation philosophy, analytics maturity, and long-term People strategy

Role Description Are you a detail-oriented individual with a passion for research and a good understanding of national and local geography? This freelance opportunity allows you to work at your own pace and from the comfort of your own home. A Day in the Life of an Online Data Analyst: - Working on a project aimed at enhancing the content and quality of digital maps used by millions of people worldwide. - Completing research and evaluation tasks in a web-based environment such as verifying and comparing data, and determining the relevance and accuracy of information. Join us today and be part of a dynamic and innovative team that is making a difference in the world! Qualifications - No previous professional experience is required to apply to this role. - Working on this project will require you to pass the basic requirements and go through a standard assessment process. - This is a part-time long-term project, and your work will be subject to our standard quality assurance checks during the term of this agreement. Requirements - Full Professional Proficiency in Latvian and English languages. - Being a resident in Latvia for the last 5 consecutive years and having familiarity with current and historical business, media, sport, news, social media, and cultural affairs in Latvia. - Ability to follow guidelines and conduct online research using search engines, online maps, and website information. - Flexibility to work across a diverse set of task types, including maps, news, audio tasks, and relevance. - Daily access to a broadband internet connection, computer, and relevant software. Benefits - Earn extra income working remotely from the comfort of your own home. - Have the freedom to choose your own working hours to suit your own lifestyle. - Be a part of a community and access our well-being initiatives. - Contribute to the development of the AI ecosystem. Equal Opportunity All qualified applicants will receive consideration for a contractual relationship without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. At TELUS Digital AI, we are proud to offer equal opportunities and are committed to creating a diverse and inclusive community. All aspects of selection are based on applicants’ qualifications, merits, competence, and performance without regard to any characteristic related to diversity.