Data-Pop Alliance
Data-Pop Alliance

Data-Pop Alliance Information

Contact top employees from Data-Pop Alliance

Summary

Data-Pop Alliance is a private company. The company currently specializes in the Nonprofit Organization Management area. Its headquarters is located at New York, New York, USA. The Data-Pop Alliance annual revenue is estimated at < 1M. To connect with Data-Pop Alliance employee register on SignalHire.

Organization Website

datapopalliance.org

Social Links

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Industries

Headquarters Location

New York City, ., . US

Employees Size

10-50 employees

SIC Code

8200

DMA Code

New York Metropolitan Area

Founded

2013

Operating Status

Independent Company

Employees Turnover 3 quarter 2025

Number of employees switched from or switched to
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Total number all of employee turnover
Number of employees by department
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Total number all of employee turnover
Length of Employment
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Employee tenure at Data-Pop Alliance shows a diverse range of experience levels:
6% have been with the company for less than 1 year15% for 1–2 years26% for 3–4 years21% for 5–7 years21% for 8–10 years12% have over 11 years of service at Data-Pop Alliance
Ex-employees positions
In Company
In New Company
Contact top employees from Data-Pop Alliance
Yamil Ruiz
Researcher & Program Officer - Data for Development
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Anthony Deen
Communications and Research Manager
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Fouad Mrad
Director for the MENA region
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Natalie Grover
Managing Director, Digital Transformation and Mobilization
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Yasmine Hamdar
Technical Manager
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Abubakar Sani Abdullahi
Development and Partnerships Officer
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Nelson Papi kolliesuah
Project and Research Manager
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Zainab Ali
Project and Research Officer
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Alina Sotolongo Aguiar
Data Scientist & ML Ops
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Ricardo Fuentes
Chief Economist
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FAQ

Data-Pop Alliance operates in the Voluntary Sector industries. More details can be found on the official website: datapopalliance.org.
The headquarters of Data-Pop Alliance are located in New York City, United States.
Data-Pop Alliance currently employs 10-50 people.
Data-Pop Alliance's revenue is approximately < 1M.
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