

VAS Data Services Pvt Ltd: Detailed Company Information & Corporate Profile
Contact top employees from
VAS Data Services Pvt Ltd
Summary
The business currently specializes in Apparel & Fashion area. The company has 10-50 employees. Register with SignalHire to connect with VAS Data Services Pvt Ltd employees and management.
| VAS Data Services Pvt Ltd Website | yepme.com |
| Industries | |
| VAS Data Services Pvt Ltd Headquarters address | 312 F Centrum Plaza, Gurgaon, Haryana, 122002 IN |
| Company Size | 10-50 employees |
| Specialties | Online Fashion Brand, E-commerce, Online Shopping, Retail, Apparels & Fashion |
| Founded | 2008 |
| Estimated Annual Revenue | $10M - 50M |
Workforce Turnover
Length of Employment
VAS Data Services Pvt Ltd's workforce includes employees across a wide range of tenure levels.
18% have been with the company for 8 to 10 years82% have been with the company for more than 11 yearsContact top employees from
VAS Data Services Pvt Ltd
Satish SangwanSr. Manager Operation Warehouse & Logistics @ Yepme.com
Ritika RaiAssistant Manager
Narendra ChaudharyAssistant Manager-Analytics
narender kumarSr. Executive
DILLIP DASSR- Executive -Finance & Account
Companies Similar to VAS Data Services Pvt Ltd
VAS Data Services Pvt Ltd Corporate Information: FAQ
VAS Data Services Pvt Ltd operates in the Clothing industries. More details can be found on the official website: yepme.com.
VAS Data Services Pvt Ltd has offices located in Gurgaon, IN.
The headquarters of VAS Data Services Pvt Ltd are located in Gurgaon, India.
VAS Data Services Pvt Ltd currently employs 10-50 people.
Data Privacy
GDPR COMPLIANT
SignalHire complies with the General Data Protection Regulation (GDPR). SignalHire follows GDPR requirements, including but not limited to rights of data subjects to access, correct, or delete their personal information and supports the right to be forgotten.
CCPA COMPLIANT
SignalHire is CCPA-compliant and provides California residents the right to know, access, opt out, and request deletion of their personal data.





