MongoDB is hiring a
Associate

Summary

Join MongoDB as we empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We are looking for a candidate based in Gurugram for our hybrid working model.

Requirements

• Having prior experience on any region/country specific compensation handling work like updating of salary structures, job classifications and pay ranges along with any bonus or equity information etc
• Candidate must have an excellent hands-on data collection and analysis experience using Excel/Google Sheets (G-Suite) (Excel test will be a part of the interview process)
• Experience for 1 to 3 years in HR Operations / Shared Services, Workforce Management or a similar environment
• Excellent communication skills with an eye for detail and process adherence
• Is a self-starter who is intrinsically motivated for their own performance to achieve desired results
• Should be a quick learner with an ability to handle large data volumes during Audits and Reconciliations
• Is agile and can function in an ambiguous environment, capable of taking charge when the situation needs it
• Working knowledge of ERP/HRMS/CRM tools e.g. SuccessFactors, Workday, Zendesk, ServiceNow etc

Responsibilities

• Ensure quality and integrity through checks and validations, identify data quality issues, drive remediation and manage reconciliation processes
• Own and manage the Compensation related processes spanning across multiple Business Units and Departments
• Handle and own audits and reporting
• Monitor data governance SLAs, assuring required KPI levels are within established (or reasonable, if not established yet) thresholds
• Implement automated data input processes and integration initiatives
• Adhere to and demonstrate high proficiency in agreed critical metrics & SLAs
• Assist in building and maintaining the Standard Operating Procedures for Case Management
• Deliver high quality and consistent service delivery to all internal customers and partners and follow Standard Operating Procedures
• Identify opportunities to streamline existing ways of data processing and quality checking