Senior Data Intelligence & Analytics Lead (Remote)

Georgetown University; Washington (District of Columbia); On-site; USD 55,000 - 100,000; Full time

Job summary

Georgetown University is seeking an Associate Director of Business Intelligence and Analytics to serve as the operational backbone of BSON's data and analytics landscape. You will own Salesforce Marketing Cloud architecture, data systems, and cross-system integrations for enrollment, engagement, and reporting.

You will build predictive models for yield, funnel metrics, and cohort risk, deliver executive dashboards, and translate complex data into actionable recommendations for school leadership

Qualifications

• Bachelor's degree in data analytics, computer science, or related field.
• 5–6 years of experience in marketing analytics, CRM administration, or institutional research, ideally in higher education or healthcare.
• Hands-on experience with Salesforce Marketing Cloud (Data Extensions, Journey Builder, UTMs, segmentation) and data governance.

Responsibilities

• Own Salesforce Marketing Cloud architecture and CRM data systems for BSON.
• Build predictive models for enrollment yield, deposit risk, and lead scoring.
• Maintain integrations and program-level lifecycle funnel / engagement reporting.
• Own paid media performance reporting and full-funnel attribution.
• Oversee market analysis and deliver executive dashboards and data storytelling.

Skills

Marketing analytics

CRM administration

Salesforce Marketing Cloud

Data modeling

Data storytelling

GA4

Tableau

Power BI

SQL

Education

Bachelor's degree in data analytics or related field

Tools

Tableau

Power BI

Salesforce Education Cloud

UTMs

Job description

Georgetown University is seeking an Associate Director of Business Intelligence and Analytics to serve as the operational backbone of BSON's data and analytics landscape. You will own Salesforce Marketing Cloud architecture, data systems, and cross-system integrations for enrollment, engagement, and reporting.

You will build predictive models for yield, funnel metrics, and cohort risk, deliver executive dashboards, and translate complex data into actionable recommendations for school leadership