Senior Fundraising Associate (G-7), FT, #00138722, Mexico City
Organizational Context
UNICEF works in over 190 countries to save children’s lives, defend their rights, and help them fulfill their potential. We are committed, passionate, and proud of our work. UNICEF is a place where careers are built, offering diverse opportunities for professional and personal development in a diverse and passionate culture.
Job Purpose
The Senior Fundraising Associate (Database) is part of the Private Fundraising & Partnerships (PFP) team within UNICEF Mexico. This role operates at the intersection of advanced analytics and fundraising strategy, focusing on data capabilities, predictive and prescriptive modeling, and supporting the data platform. It addresses the need to move beyond descriptive reporting to forward-looking intelligence, anticipating donor behavior, optimizing campaign investment, reducing attrition, and prescribing actions to maximize long-term fundraising impact. The role supports the implementation and maintenance of analytics models, ensuring data quality, execution, monitoring, and reporting to strengthen evidence-based fundraising decisions, while also managing the donor database and translating insights into actionable recommendations.
Responsibilities
The Senior Fundraising Associate (Database) is responsible for supporting the implementation and maintenance of predictive and prescriptive analytics models, ensuring data quality, model execution, monitoring, and reporting to strengthen evidence-based fundraising decisions. This includes predictive analytics implementation and model execution, prescriptive analytics and optimization support, and data preparation and feature engineering for approved models. The role also involves model monitoring, validation, and documentation, as well as insight communication, campaign data, and dashboard support. Additionally, the associate will be responsible for donor database administration, data protection, and user support, ensuring the integrity and effective use of the donor database. This position plays a crucial role in enhancing the Individual Giving programme's data capabilities and driving fundraising growth through advanced analytical insights and data-driven strategies.
Work Experience
A minimum of 7 years of relevant professional experience in data analysis, applied predictive/prescriptive analytics execution, or CRM/database analytics is required. Experience with data preparation, feature engineering, model validation, monitoring, and executing data-driven testing frameworks is essential.
Skills
Predictive analytics model implementation and execution, Prescriptive analytics and optimization support, Data preparation and feature engineering, Model monitoring, validation, and documentation, Insight communication and dashboard support, Donor database administration, Data protection and user support, CRM/database analytics, Applied predictive/prescriptive analytics execution, Data-driven testing frameworks (e.g., A/B testing), Large CRM or transactional database management (Salesforce or similar), Data analysis and evidence-based decision-making