
location_onLogan Street, Downtown, Pittsburgh, Allegheny County, Pennsylvania, 15262, United States
The Alumni Relations Operations & Data Analyst serves as the critical technical bridge between Reed Smith's Alumni Relations function and the firm's broader data ecosystem. This role exists to ensure that alumni data is not only accurate and consistent across multiple systems but also actionable for driving engagement, retention, and business development initiatives.
In this position, you will act as the primary liaison for the firm's external website vendor, managing the health of data feeds, resolving technical errors, and driving enhancements to the alumni platform. Your day-to-day involves monitoring user experiences, optimizing data capture through light HTML/CSS, and translating complex data trends into clear narratives for leadership. You will work closely with Alumni Relations and firmwide teams to align data definitions, ensuring that insights regarding alumni engagement, employment, and education are reliable and timely.
This role is ideal for a self-directed analyst who thrives in a hybrid environment, capable of independently troubleshooting technical issues while collaborating effectively with vendors and internal stakeholders to support the firm's mission of fostering lasting alumni connections.
Work model: Hybrid
Logan Street, Downtown, Pittsburgh, Allegheny County, Pennsylvania, 15262, United States
Pittsburgh, Pennsylvania
Experience with Salesforce. Experience utilizing social media platforms as data sources and research tools. Advanced Excel capabilities (e.g. PowerQuery). Experience with data visualization and presentation tools (e.g., PowerPoint, Power BI or similar platforms). Experience managing or supporting a community-based website or platform, including content maintenance, member engagement support, and coordination with internal stakeholders.
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Skills: Data Analysis, Reporting, CRM, Salesforce, Excel, Powerquery, Power Bi, HTML, CSS, Linkedin.
Education: Bachelor's degree in Data Analytics, Statistics, Economics, Social Sciences, Computer Science, or a related field required.
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