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Idaho State University

Idaho State University

via Ladders

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Senior Data Analyst, University Advancement (1416)

Anywhere
Part-time
Posted 11/26/2025
Verified Source
Key Skills:
Data Visualization (Power BI, Tableau)
SQL
Data Modeling
Statistical Analysis
Predictive Modeling
Dashboard Development
Data Integrity Auditing
Mentoring and Supervision
Business Analytics
Communication and Documentation

Compensation

Salary Range

$70K - 90K a year

Responsibilities

Manage and maintain fundraising data, build dashboards and reports, support data-driven decision making, supervise staff, and improve reporting workflows.

Requirements

Bachelor's degree or equivalent experience, 3+ years relevant experience including supervisory role, expertise in Power BI or Tableau, SQL skills, strong communication, and ability to translate business needs into analytics.

Full Description

About the position Responsibilities • Manage and maintain the Foundation's core reporting datasets, ensuring accuracy, governance, and fiscal-year-alignment for major, annual, and planned giving. • Build and maintain dashboards and scorecards to monitor directors of development portfolio activity, prospect progress, and gift projections. • Provide standardized lists and reports to support fundraising appeals, events, stewardship, and research. • Partner with the Senior Prospect Research Analyst to support director of development portfolio reviews, document decisions, and follow-through. • Build and maintain data models that integrate information from CRM, financial, and engagement systems. • Design and maintain simple, reliable dashboards and reports that show fundraising, prospect, and engagement performance. • Conduct regular deduplication checks and validation audits to ensure data integrity. • Work with the Director to define how data is organized and documented so that reporting is consistent, transparent, and easy to maintain. • Recommend improvements to data workflows that make reporting more efficient and reliable. • Develop donor and alumni segmentation models that inform targeted outreach and campaign design. • Support exploratory and predictive modeling (e.g., likelihood to give, engagement scoring, pipeline forecasting) using appropriate statistical or machine-learning techniques. • Collaborate with Alumni Engagement, Annual Giving, Communications, and other teams within advancement to operationalize segments for solicitation, stewardship, and engagement efforts. • Collaborate with directors of development and Foundation leadership to identify needs and design solutions that inform strategic decisions. • Supervise and coach two part-time staff; assign priorities and review deliverables to ensure accuracy and consistency. • Promote data literacy by creating clear documentation and offering training on dashboards, metrics, and data definitions. • Evaluate existing reporting workflows and propose automation or redesign to improve efficiency. • Research emerging BI and analytics tools and implement enhancements as appropriate. • Participate in professional learning through CASE, Apra, or other peer analytics networks, incorporating new best practices. Requirements • Bachelor's degree in a relevant field (e.g., Data Science, Information Systems, Business Analytics, Statistics, Finance, or a related discipline) and at least three years of progressively responsible experience, OR in lieu of a Bachelor's degree, nine years total relevant professional experience (six years substitute for the degree and at least three years role specific experience). • At least one year mentoring and supervisory experience. • Demonstrated expertise in data visualization tools such as Power BI or Tableau. • Experience with SQL, relational databases, and data modeling concepts. • Ability to translate complex business questions into analytical deliverables. • Strong written and verbal communication skills, including documentation and executive reporting. Nice-to-haves • Experience with advancement CRMs such as Raiser's Edge NXT or Salesforce NPSP. • Familiarity with CASE Global Reporting Standards and advancement metrics such as LYBUNT/SYBUNT and proposal pipeline health. • Experience with Python or R for data cleaning, automation, or statistical analysis. • Experience with predictive modeling, donor segmentation, or clustering techniques. • Experience supporting comprehensive fundraising campaigns. • Experience working in philanthropy in a higher education and/or non-profit setting. Benefits • comprehensive health, dental, and vision • life insurance • disability plan • employee assistance program (EAP) • excellent retirement options and company contribution • generous paid time off/sick leave accrual

This job posting was last updated on 11/28/2025

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