Analytics Engineer, Toronto, Canada

## Analytics Engineer, Toronto, Canada - Organization:UNICEF - United Nations Children's Fund - Office:UNICEF Canada National Office Impact Starts atUNICEF Canada JOIN OUR TEAM AS AN Analytics Engineer Are you looking to use your data & technology expertise to help drive insights that will have a direct impact on the lives of children? JoinUNICEF Canada-one of Canada's most respected and historic charities - andbe part of a high-impact, mission-driven teamworking across Canada and globally to create a better world for children. We are seeking a talented individual for the role ofAnalytics Engineer. Full-time, Permanent (Vacant - New Role) Director, Data & Insights $90,000 to $105,000 per year annually with benefits and 3 weeks paid vacation UNICEF Canada currently operates under a Fixed-Hybrid model that requires team members to attend the office at least 2 days/week (Tuesday/Wednesday) Why UNICEF & UNICEF Canada? UNICEFis the world's farthest-reaching humanitarian organization for children. Across 190 countries and territories, and in the world's toughest places, we provide and advocate for education, health and nutrition services. Protect children from violence and abuse. Bring clean water and sanitation to those in need. Keep them safe from climate change and disease. Serve as the world's largest provider of vaccines. Before, during and after emergencies, we're on the ground with life-saving help and hope. The needs of children around the world continue to increase and the role of UNICEF is more important than ever. UNICEF Canadais one of 32 National Committees (NatComs) located in high-income countries around the world. Our team exists to fundraise for UNICEF's highest priorities, and to work neutrally with governments and the private sector in Canada and internationally to advance the rights and well-being of children and youth. As UNICEF Canada launches abold new Strategic Plan in 2026, raising funds in support of children around the world will remain a key focus.Be part of this next phase of impact! The Analytics Engineer will play a pivotal role in shaping the organization's data and analytics capabilities and helping embed data-driven decision making across fundraising and business teams. This senior individual contributor is responsible for translating business questions into analytical opportunities, partnering closely with fundraising leaders to understand their priorities, and developing actionable insights and data & analytics products that improve donor retention, fundraising effectiveness, investment decisions, and donor experience. The role is designed to help evolve the organization towards a more mature analytics function that proactively identifies opportunities, measures outcomes, and informs strategic decision-making. This is an opportunity to join a high-performing team, solve meaningful and technically complex problems, and contribute directly to the ongoing execution and evolution of our enterprise data strategy. - Build Organizational Analytics Capability (20%) Working directly with the Director, Data & Insights, advance the organization's analytics maturity and establish scalable approaches for generating business value from data - Help define and implement an enterprise analytics roadmap that aligns with fundraising and organizational priorities. - Establish repeatable analytical frameworks, methodologies, and best practices. - Support the transition from operational reporting toward diagnostic, predictive, and insight-driven analytics. - Promote adoption of common performance measures and analytical standards across fundraising teams. - Improve organizational understanding of donor behavior, donor value, and fundraising performance drivers. - Champion evidence-based decision-making and a culture of continuous learning. - Identify opportunities for automation and modernization of analytical processes through artificial intelligence (AI) 2. Strategic Business Partnership (15%) Serve as a trusted analytics advisor to fundraising leaders and business teams, helping translate business challenges into analytical opportunities. - Build strong relationships with fundraising leaders and key stakeholders. - Facilitate discovery conversations to understand goals, challenges, priorities, and information needs. - Recommend analytical solutions that support fundraising effectiveness and donor engagement objectives. - Support annual planning and prioritization discussions by bringing evidence and analytical insight to decision-making. 3. Donor Portfolio Analytics and Insights (35%) Lead exploratory and deep-dive analyses that generate actionable insights into donor behavior and fundraising performance. - Conduct portfolio analysis to identify retention, upgrade, reactivation, cross-sell, and acquisition opportunities. - Perform cohort analysis, lifecycle analysis, and donor journey analysis to improve donor experience, and identify opportunities to strengthen donor loyalty and lifetime value. - Enrich and develop donor profiles and segmentation that help fundraising teams better understand supporters. - Support fundraising teams on investment decisions and resource allocation. - Promote and support measurable test and learn initiatives 4. Data and Insight Modernization (10%) Support efforts to improve the accessibility, quality, and usability of data across the organization. - Contribute to initiatives involving CRM evolution, data architecture improvement, reporting modernization, analytics and AI enablement. - Assist in developing business definitions, data dictionaries, and performance metrics. - Support efforts to improve trust and confidence in organizational data. 5. Data Enablement, Integration & Automation (20%) Support the organization's analytics, donor insights, and fundraising strategy by designing and implementing data integration, automation, and data enablement solutions that improve access to trusted, timely, and actionable information. - Design, develop, and maintain data integration, automation, and ETL/ELT solutions that enable reliable movement of supporter, fundraising, engagement, and operational data across platforms. - Partner with business, fundraising, analytics, and technical stakeholders to translate data and operational needs into scalable integration and data enablement solutions. - Improve data quality, consistency, availability, and usability through validation, testing, documentation, data lineage, and sustainable operating procedures. - Support donor experience, reporting, CRM, fundraising technology, and data warehouse modernization initiatives by providing integration expertise and reducing manual effort through improved automation and workflow design. - Post-secondary degree in Computer Science, Statistics, Information Systems, Engineering, or a related discipline. - Minimum of 5 years' experience in customer/fundraising analytics, business intelligence, or a related discipline. - Demonstrated experience translating business needs into analytical solutions. - Strong stakeholder engagement and business partnership skills. - Experience presenting analytical findings to senior leaders and non-technical audiences. - 2+ years of hands-on experience in data integration development and ETL/ELT pipeline design, using platforms such as Microsoft SQL Server and associated tooling, including SSIS and stored procedures. - Advanced SQL expertise, including query optimization, performance tuning, stored procedure development, and troubleshooting. - Solid understanding of data warehousing concepts, data modelling, and integration best practices. - Experience with version control and source code management tools (e.g., Git, Azure DevOps).Familiarity with data privacy principles and secure data handling practices, particularly in environments managing personal or financial data. (i.e. CRM) - Experience in the not-for-profit or fundraising sector. - Hands-on experience with Blackbaud Raiser's Edge (or equivalent C