> Markdown version of [/jobs/ext/1406582-business-intelligence-specialist-prospect-management-and-analytics](https://www.wearedevelopers.com/jobs/ext/1406582-business-intelligence-specialist-prospect-management-and-analytics). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Business Intelligence Specialist, Prospect Management and Analytics - **Company:** Pennsylvania State University - **Location:** Reedsville, PA, United States (Remote available) - **Salary:** $72,300.0 - $108,444.0 - **Contract:** Permanent contract - **Skills:** Data Analysis, Data Validation, Data Visualization, Data Analytics - **Published:** July 23, 2026 - **Apply:** https://www.careerjet.com/job/us76bc8bbb1b7d7d20119cc4865b57b757/eaa ## About the Role Exemplary interpersonal and communication skills; The ability to create and maintain an inclusive and respectful environment for all students and colleagues; A proven ability to self-motivate and work both independently and as part of a team; A commitment to professional development, learning, and being mentored. ## Description The Division of Development and Alumni Relations (DDAR) is seeking a Business Intelligence Specialist (Intermediate Professional) to support analytics, reporting, and data-informed decision making within the Office of Prospect Management and Analytics. The Office of Prospect Management and Analytics empowers gift officers and DDAR leadership with timely, accurate insights that support effective fundraising, prospect strategy, and engagement efforts. Through thoughtful analytics and research, the office contributes to the successful achievement of DDAR's philanthropic and engagement goals. Reporting within Prospect Management and Analytics, the Business Intelligence Specialist will serve as a skilled analytical contributor, partnering with advancement leadership, development officers, prospect management staff, and colleagues across DDAR. This role is well-suited for a professional with demonstrated data visualization and consultative analytical skills to a customer focused, collaborative, mission-driven environment. Support the development and delivery of reports, dashboards, and analyses that inform fundraising performance, prospect pipeline activity, portfolio management, and donor engagement Access and analyze data from University and DDAR systems to answer business questions, identify trends, and support tactical and operational decision making Design, build, and maintain user-friendly dashboards and recurring reports using established business intelligence tools and standards Assist in the development and documentation of key performance indicators (KPIs) and metrics aligned with DDAR goals and reporting needs Write, test, and optimize scripts and data extracts to ensure accurate and reliable reporting in BI technologies Collaborate with cross-functional stakeholders on analytical projects, data validation, and continuous improvement of reporting processes Translate analytical outputs into clear compelling data visualizations for non-technical audiences, with guidance from strategic partners as appropriate Provide support and training to end users on business intelligence tools, dashboards, and data literacy Contribute to data quality, documentation, and standardization efforts to improve consistency and usability of advancement data Stay informed about business intelligence and analytics tools in use at the University and apply best practices within the scope of the role, DDAR is supportive of flexible work arrangements when aligned with the ability to meet the needs of the unit and the essential duties of the position. Questions related to flexible work arrangements should be directed to the hiring manager during the interview process. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Intro to FastAPI](https://www.wearedevelopers.com/videos/462-intro-to-fastapi) - [How Data is Shaping our Games](https://www.wearedevelopers.com/videos/176-how-data-is-shaping-our-games) - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) - [The Innovation Formula: Fast Prototyping, Data Analysis, and Real User Insights](https://www.wearedevelopers.com/videos/1421-the-innovation-formula-fast-prototyping-data-analysis-and-real-user-insights) ## Related Articles - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Data Analyst Salary Austria](https://www.wearedevelopers.com/magazine/275-data-analyst-salary-austria) - [Best Coding Boot Camps in Germany](https://www.wearedevelopers.com/magazine/237-best-coding-boot-camps-in-germany) - [Data Analyst Salary Germany](https://www.wearedevelopers.com/magazine/277-data-analyst-salary-germany)