Continuum of Care Data Consultant
Sector: Government • Location: Pasadena, California, United States of America
Source: Open Gov Tenders
The City of Pasadena, as the Collaborative Applicant for the Pasadena Continuum of Care (CoC), is seeking proposals from a qualified data consultant to conduct data analyses for large and small scale projects as-needed, including but not limited to the annual Homeless Count, the U.S. Department of Housing and Urban Development (HUD) annual Continuum of Care program competition, evaluation of syste
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Participants
Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | closed |
Taiyo status | Obfuscated Data |
Taiyo last update | 00-00-0000 |
Available timestamps | 00-00-0000 |
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Contact
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Address | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Description
Description | The City of Pasadena, as the Collaborative Applicant for the Pasadena Continuum of Care (CoC), is seeking proposals from a qualified data consultant to conduct data analyses for large and small scale projects as-needed, including but not limited to the annual Homeless Count, the U.S. Department of Housing and Urban Development (HUD) annual Continuum of Care program competition, evaluation of system progress towards Homelessness Plan goals, grant applications, and other tasks as identified. The ideal consultant will have considerable experience with HUD guidance and the Homeless Management Information System (HMIS) database, best practices around data analysis, and familiarity with Pasadena programs that serve people experiencing or at-risk of homelessness. The consultant’s work will begin immediately upon contract award and is eligible for renewal annually for up to three years, contingent on funding availability. |
Original sub-sector | Obfuscated |
Original Currency | USD |
Original budget | 000000000000000 |
Procurement method | Obfuscated Data |
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Location
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Location | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Source
Source reliability | High |
Data quality score | 100% |
Source | Obfuscated Data |
URL | obfuscated_data,obfuscateddata.com |
More Details
Project Type | Obfuscated Data |
Article Published Date | Obfuscated Data |
