Senior Fundraising Analytics Lead

Global Roles; Ciudad de México; Hybride; MXN 700 000 - 1 000 000; Plein temps

Résumé du poste

Global Roles seeks a Senior Fundraising Associate (Database) to implement and maintain predictive and prescriptive analytics for evidence-based fundraising decisions. The role includes donor database administration, data quality assurance, model execution, monitoring and reporting to optimize fundraising impact.

Responsibilities cover data preparation, feature engineering, model validation, and delivering insights through dashboards.

Qualifications

• Completion of secondary education is required and a Bachelor’s degree may replace three years of related work experience.
• A Master’s degree may replace an additional two years of related work experience.
• Experience implementing, running or adapting predictive analytics models (classification, regression) such as churn, propensity scoring, or lifetime-value estimation is required.
• Experience preparing data and engineering features for ML or statistical models and validating or monitoring models is required.
• Experience executing data-driven testing frameworks (e.g., A/B testing) designed by others is required.
• Experience analyzing or managing large CRM or transactional databases (Salesforce or similar) is required.
• Proficiency in English and Spanish is required.
• Knowledge of another UN language is desirable.
• Experience in fundraising or non-profit contexts is desirable.
• Salesforce and Marketing Analytics skills are desirable.
• Cloud data platforms (GCP BigQuery, AWS, Azure ML) are desirable.
• Country-level relevant experience in development or humanitarian contexts is desirable.

Responsabilités

• Support the implementation and maintenance of predictive and prescriptive analytics models.
• Ensure data quality, model execution, monitoring and reporting to strengthen evidence-based fundraising decisions.
• Support the management of the donor database and data protection.
• Translate analytical insights into actionable recommendations for the Individual Giving programme.
• Perform predictive analytics implementation and model execution.
• Support prescriptive analytics and optimization.
• Prepare data and engineer features for approved models.
• Monitor, validate and document models.
• Communicate insights and support campaign data and dashboards.
• Provide donor database administration, data protection and user support.

Connaissances

Data Analysis

Predictive Analysis

Prescriptive Analytics

CRM Analytics

Database Analytics

Predictive Model Implementation

Regression Modeling

Classification modeling

Feature Engineering

Model Validation

Model Monitoring

A/B Testing

CRM Database Management

Salesforce

Evidence-Based Decision Making

Fundraising Analytics

Data Quality Assurance

Formation

Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Actuarial Science or Applied Mathematics

Master's degree may replace additional two years of related work experience

Outils

Salesforce

Marketing Analytics

GCP BigQuery

AWS

Azure ML

Description du poste

Global Roles seeks a Senior Fundraising Associate (Database) to implement and maintain predictive and prescriptive analytics for evidence-based fundraising decisions. The role includes donor database administration, data quality assurance, model execution, monitoring and reporting to optimize fundraising impact.

Responsibilities cover data preparation, feature engineering, model validation, and delivering insights through dashboards.