Data Specialist

Functional Responsibility: The Data Support Specialist will support will work closely with their teammates and the NSF Program staff to input critical data into NSF systems and databases to assign proposals to ad hoc reviewers and panels, to disseminate passwords and travel orders to confirmed panelists and to process proposals electronically in support of the overall NSF peer review process. Coordinate with TIP Data team and operations staff to ensure database systems essential to the management and tracking of the TIP programs are updated and maintained in a timely manner to ensure availability and currency of data for analysis and reporting; and develop and maintain SOPs and checklists for all E-Business support activities. Maintain a SharePoint or MS Teams site for the Section's documents, calendars, policies, travel, and procedures. In addition, the Data Processing Specialist provides other administrative services upon request, including supporting small and medium sized meetings, tracking tasks and deliverables in SharePoint or MS Teams, and corresponding with external stakeholders via telephone and email. Track pitch, proposal and award recommendations, travel expenses; generate statistical documents as required by various constituencies; and gather, format and consolidate data from multiple sources for program analysis and information sharing.   Must be a US Citizen Must be able to pass a Background Check Minimum Education: Bachelor's degree in data & Analytics, Information Systems, or relevant field Minimum/General Experience: 2 years of business systems and data analytics experience  

Preferred:

Demonstrated knowledge, experience, and operational capability in the following areas:

A fundamental understanding of the CHIPS and Science Act, NSF's mission, and the role of the Directorate for Technology, Innovation and Partnerships (TIP) in accelerating use-inspired research, fostering public-private partnerships, and strengthening regional innovation ecosystems.

Demonstrated knowledge of NSF's merit review process, including:

• Coordinating panel and ad hoc review logistics (virtual and in-person), including scheduling, platform setup, and travel arrangements

• Managing proposal assignments, reviewer communications, and deadline tracking within NSF systems

• Preparing and distributing panel materials, agendas, and documentation templates

• Monitoring review progress to ensure adherence to timelines and procedural requirements

• Maintaining complete and accurate review records to support compliance and audit readiness

• The application of the Intellectual Merit and Broader Impacts review criteria

• Conflict-of-interest identification and mitigation procedures

• Reviewer recruitment, documentation standards, and funding recommendation development

• Requirements for transparency, documentation integrity, and defensibility of award decisions