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Spatial Analysis & Land Use Mapping Specialist

Active
International

Contract Overview

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

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This subcontract opportunity with Metro Vancouver seeks a Spatial Analysis and Land Use Mapping Specialist to provide critical data analysis and mapping services for wastewater projects. The selected specialist will support prime contractors by integrating hydraulic datasets with ArcGIS or QGIS to visualize spatial trends and analyze demographic data, specifically correlating Combined Sewer Overflow performance with land use and population growth. GISP certification is preferred for this role. The primary deliverables include spatial analysis maps and data layers that illustrate the relationships between population growth, land use, and CSO performance. Interested parties must respond by October 20, 2026, for this project categorized under NAICS code 541370.

General Info

Metro Vancouver seeks a GIS specialist for wastewater spatial analysis and land use mapping.

Agency

Metro VancouverView Agency

NAICS

541370 - Surveying and Mapping (except Geophysical) ServicesView NAICS

Place of Performance

CAN

Set-Aside

NONE

Documents

This scope was carved out of 26-0583.

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

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Data-Driven Analysis Of CSO Discharges

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Organization & Contact Information

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AgencyMetro Vancouver
ContactsNo contacts available
OfficeN/A
Organization / Agency
Metro Vancouver
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Office AddressN/A
ContactsNo contact information available

Full Description

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Supplies spatial data analysis and mapping for prime contractors on Metro Vancouver wastewater projects to correlate CSO performance with land use and population growth. Integrates hydraulic datasets with ArcGIS or QGIS to visualize spatial trends and analyze demographic datasets. GISP certification preferred. Delivers spatial analysis maps and data layers showing correlations between land use, population, and CSO performance.

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