Pipeline Development and Research Analyst II- (US Only)

Catholic Relief Services; Northern (KY); Hybrid; USD 70,000 - 100,000; Full time

Job summary

Catholic Relief Services is seeking an Analyst II, Pipeline Development and Research to perform high-value donor prospect research, develop predictive models, and lead AI-enabled tools that optimize donor placement in fundraising pipelines.

You will collaborate with GKIM and Analytics and Development Operations, assess internal data and external sources, and translate insights into actionable recommendations for donor engagement and strategy.

Qualifications

• Proficiency in Python and ML techniques for predictive analytics.

Responsibilities

• Perform high-value donor prospect research and profiling.
• Develop and enhance AI-enabled solutions for prospecting and risk analysis.
• Build predictive models to optimize donor placement in pipelines and programs.
• Collaborate with GKIM and Analytics and Development Operations.

Skills

Python

ML techniques

Social network analysis

Agentic AI

Prospect research

Tableau

Detail oriented

Independent work

Communication

Learning new systems

Tools

Graph database

BI tools

Job description

NOTE: The above Pay Range only applies to applicants who perform the job within the US and to applicants classified by CRS as International Assignees. Staff hired on local payroll would follow the respective Country pay range. Your recruiter can share more about the specific salary range for your anticipated work location during the candidate selection process.

Job Summary

The Analyst II, Pipeline Development and Research perform high-value individual and institutional prospect research, combining traditional methods and the development, evaluation, and implementation of new AI tools and agentic solutions, develop new and modify existing predictive models that support the optimized placement of donors into pipelines, and identify opportunities from donor data and AI solutions to support and the extend the capabilities of prospect research, relationship mapping, and data analytics.

Roles and Key Responsibilities

Prospecting

• Conduct proactive research and analysis to identify, qualify, and prioritize potential high-value individual and institutional donors prospects aligned with fundraising objectives.
• Prepare and deliver prospect intelligence, including donor profiles, capacity and affinity assessments, relationship insights, and strategic to support donor cultivation and solicitation efforts.
• Support pipeline development processes and prospect management activities by identifying opportunities and informing engagement strategies for high-value individual and institutional donors.

Agentic Engineering for Research, Prospecting & Risk Analysis

• Lead development and enhancement of internal agentic AI solutions, in partnership with GKIM and Analytics and Development Operations, for prospecting and prospect research, including both individual and institutional donors, and identifying relationships between donors, including solutions that incorporate data from an internal graph database
• Lead development of internal agentic solutions, in partnership with GKIM and Analytics and Development Operations, for the incorporation of near real time data from external sources
• Contribute to the design and implementation of AI-enabled solutions for prospect risk analysis and evaluation of aligned with organizational priorities and stakeholder needs.
• Assess and support the adoption of internally developed and vendor provided AI tools that strengthen research, prospecting, and analytical capabilities.

Predictive Analytics

• Develop predictive models, using machine learning techniques, to optimize placement of donors in pipelines and programs
• Optimize model performance, perform regular model runs, lead regular updates to models, and develop near real-time availability of model results, through an understanding of internal data, systems, and platforms in coordination with the Data and Platform Systems team
• Translate predictive analytics and graph database into actionable recommendations that support donor engagement and strategic decision-making across GREM.

Data Discovery

• Assist in the evaluation of internal and vendor supplied data for utility, accuracy, and potential incorporation into predictive modeling, reporting, and strategic approaches to engage donors
• Support the expansion and ongoing enhancement of donor graph database through the incorporation of existing and new relational data to facilitate opportunities with individual and institutional prospects
• Conduct regular analysis to identify trends, patterns, and insights that strengthen donor understanding and fundraising strategies.

Knowledge, Skills and Abilities

• Knowledge of Python
• Knowledge of machine learning modeling techniques (e.g. random forest, gradient boosting)
• Knowledge of social network analysis
• Familiarity with agentic AI
• Familiarity with prospect research for philanthropic fundraising
• Familiarity with business intelligence tools (e.g. Tableau)
• Detail oriented, results-oriented and proactive
• Ability to work independently, manage competing priorities, and meet all deadlines
• Able to effectively communicate, coordinate and collaborate with various stakeholders
• Effective listener and able to understand intent as well as hoped for outcome
• Constant learner and innovator, able and willing to learn new systems and software
• Able to develop technical solutions to meet business needs
• Able to provide coaching and support to others

Required Languages: Fluency in English required.

Travel: None

Supervisory Responsibilities: No