Senior Decision Support Analyst, Prospect Research

Overview

The Senior Decision Support Analyst (SDSA) is a key member of the Prospect Research team at DFCI, providing critical information and tools to research colleagues, frontline staff, and the broader Division of Philanthropy. The SDSA leverages a complex data landscape to develop pipeline assessments for individual business units and frontline roles based on portfolio health, pipeline strength and fundraiser performance. Reports to the Director, Analytics, Prospect Research.

This position is considered remote, 0-1 days onsite at 10 Brookline Place, Brookline, MA each week. Some evening or weekend work may be required.

Located in Boston and the surrounding communities, Dana-Farber Cancer Institute is a leader in life changing breakthroughs in cancer research and patient care. We are united in our mission of conquering cancer, HIV/AIDS and related diseases. We strive to create an inclusive, diverse, and equitable environment where we provide compassionate and comprehensive care to patients of all backgrounds, and design programs to promote public health particularly among high-risk and underserved populations. We conduct groundbreaking research that advances treatment, we educate tomorrow's physician/researchers, and we work with amazing partners, including other Harvard Medical School-affiliated hospitals.

Responsibilities

• Reviewing and summarizing complex information to make prospect management recommendations across frontline teams.
• Preparing and interpreting prospect management reports for cross-departmental distribution using Microsoft Excel, Power BI, R, and Tableau.
• Monitor and prioritize Prospect Management requests and escalate complex cases.
• Leading ongoing review, maintenance, and reporting on Prospect ID & Research output to ensure frontline needs are met.
• Completing data integrity audits to ensure all prospect management data is up to date and accurate.
• Collaborating with the Director to further streamline internal data processes and reporting.
• Executing a broad range of analyses centered around historical prospect management efficacy and business practice.

Qualifications

Minimum Education:

High school diploma or equivalency required; Bachelor’s degree preferred.

Minimum Experience:

3-5 years’ experience in a prospect management role involving data analysis, business intelligence, and/or decision support preferred.

License/Certification/Registration:

None

KNOWLEDGE, SKILLS, AND ABILITIES REQUIRED:

• Knowledge of fundraising operations and prospect management standards specific to healthcare or higher education.
• Experience with data analysis and statistical software such as R and/or Python.
• Proficiency with data visualization tools like Tableau or Power BI.
• Experience with querying databases.
• Skills in Microsoft Excel, including the use of pivot tables, joining methods, and formula development.
• Strong quantitative and analytical skills to interpret complex data and generate actionable insights.
• Strong written and verbal communication skills to create clear and concise reports and documentation and to effectively communicate findings and recommendations to both technical and non-technical audiences.
• Proven history of working effectively with cross-functional teams and stakeholders including consistent diplomacy and tact in enforcement of policy and procedure.

At Dana-Farber Cancer Institute, we work every day to create an innovative, caring, and inclusive environment where every patient, family, and staff member feels they belong. As relentless as we are in our mission to reduce the burden of cancer for all, we are committed to having faculty and staff that offer multifaceted experiences. Cancer knows no boundaries and when it comes to hiring the most dedicated and diverse professionals, neither do we. If working in this kind of organization inspires you, we encourage you to apply.

Dana-Farber Cancer Institute is an equal opportunity employer and affirms the right of every qualified applicant to receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other characteristics protected by law.

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