Senior Fundraising Data & Analytics Associate

UNICEF - United Nations Children’s Fund; Ciudad de México; Hybrid; MXN 600,000 - 800,000; Full time

Job summary

UNICEF Mexico is seeking a Senior Fundraising Associate (Database) to drive advanced analytics for Individual Giving, building predictive and prescriptive models to grow donor engagement and fundraising impact.

Working in the Private Fundraising & Partnerships team, you will monitor data quality, run model execution, translate insights into actionable recommendations, and manage the donor database to support data-driven decisions.

Qualifications

• Completion of secondary education is required.
• A bachelors degree from a recognized institution in Computer Science, Data Science, Statistics, Mathematics, Actuarial Science, Applied Mathematics or related field may replace three years of experience.
• A masters degree may replace an additional two years.

Responsibilities

• Predictive analytics implementation and model execution.
• Prescriptive analytics and optimizations support.
• Data preparation and feature engineering for approved models.
• Model monitoring, validation and documentation.
• Insight communication, campaign data and dashboards support.
• Donor database administration, data protection and user support.

Skills

Predictive analytics

Prescriptive analytics

Data preparation

Model monitoring

Insight communication

Donor database administration

Education

Bachelors degree in Computer Science or related field

Masters degree preferred

Secondary education required

Tools

Salesforce

BigQuery

AWS

Azure ML

Job description

UNICEF Mexico is seeking a Senior Fundraising Associate (Database) to drive advanced analytics for Individual Giving, building predictive and prescriptive models to grow donor engagement and fundraising impact.

Working in the Private Fundraising & Partnerships team, you will monitor data quality, run model execution, translate insights into actionable recommendations, and manage the donor database to support data-driven decisions.