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Facilities Data Analyst

Active

State & Local

Response Deadline10/15/2026, 06:00:00 PM UTC

Contract Overview

Solicitation details, issuing organization, response deadlines, documents, and interested companies for this government contract opportunity.

AI Contract Overview

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The Facilities Data Analyst subcontract for The University of Akron involves performing quantitative analysis of enrollment projections, staffing levels, and industry benchmarks for prime contractors on campus facility projects. The selected provider will utilize statistical tools to conduct comparative analyses specifically for science and engineering facilities, creating a data-driven foundation for operational efficiency reports. The final deliverables include comprehensive benchmarking reports and detailed data analysis sets to support the overall strategy. This opportunity is categorized under NAICS code 541690, with a response deadline of October 15, 2026.

General Info

Facilities Data Analyst subcontract for University of Akron; deadline October 15, 2026.

Agency

Ohio → The University of Akron

NAICS

541690 - Other Scientific and Technical Consulting Services

Place of Performance

Not specified

Set-Aside

NONE

Documents

This scope was carved out of the-university-of-akron-1233539.

The full solicitation package (2 documents), including the RFP, is on the prime solicitation, not on this scope.

View the prime solicitation

Facilities Utilization and Campus Facilities Plan RFQ

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Timeline

PostedSep 24

subcontract

Response DeadlineOct 15

Submission deadline

Response Deadline

10/15/2026, 06:00:00 PM UTCin 20 days

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Organization & Contact Information

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AgencyOhio → The University of Akron

ContactsNo contacts available

OfficeN/A

Organization / AgencyOhio → The University of Akron

Office AddressN/A

ContactsNo contact information available

Full Description

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Performs quantitative analysis of enrollment projections, staffing levels, and industry benchmarks for prime contractors on University of Akron campus facility projects. Conducts comparative analysis for science and engineering facilities using statistical tools to build the data-driven foundation for operational efficiency reports. Delivers benchmarking reports and data analysis sets supporting the final strategy.

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