Employee Onboard 17+

STACKERBEE TECHNOLOGIES

STACKERBEE TECHNOLOGIES PRIVATE LIMITED

Designed for iPad

    • Free

Screenshots

Description

Employee Onboarding

Welcome to the Employee Onboarding app by Stackerbee Technologies! Our app is designed to simplify and streamline the onboarding process for new hires, ensuring a seamless and efficient transition into your organisation.

Features:

Comprehensive Data Collection: Gather and manage all necessary employee information, including personal details, emergency contact information, academic records, employment history, and background verification.
Document Management: Upload, store, and access important documents like Aadhar, PAN card, mark sheets, and more with ease.
Secure Storage: Protect sensitive information with robust encryption protocols and secure server infrastructure, ensuring your data is safe and compliant with privacy regulations.
Salary Processing: Collect and manage bank account details for seamless salary processing.
User-Friendly Interface: Navigate the app effortlessly with a clean, intuitive design that makes onboarding a breeze for both HR professionals and new employees.
Background Verification: Facilitate thorough and efficient background checks to ensure the reliability of new hires.
At Stackerbee Technologies, we understand the importance of a smooth onboarding process. Our Employee Onboarding app is designed to make this process as efficient and secure as possible, allowing you to focus on welcoming and integrating new team members into your organisation.

Download the Employee Onboarding app today and experience a new standard in onboarding efficiency and security!

App Privacy

The developer, STACKERBEE TECHNOLOGIES PRIVATE LIMITED, indicated that the app’s privacy practices may include handling of data as described below. For more information, see the developer’s privacy policy.

Data Linked to You

The following data may be collected and linked to your identity:

  • Contact Info
  • Other Data

Privacy practices may vary based on, for example, the features you use or your age. Learn More

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