Mega Walk-In Drive TCS Pune is Hiring for Master Data Management

2 weeks ago


Nashik, India Tata Consultancy Services Full time

Mega Walk-In Drive TCS Pune is Hiring for Master Data Management Job Title: Master Data Management Date : November 30th 2025, Sunday Timings : 10:00 AM - 12:30 PM Venue : Sahyadri Park, Plot No. 2 & 3, Phase 3, Hinjewadi Rajiv Gandhi Infotech Park, Pune - 411057, India Shift: Should be comfortable with Night Shift & 24x7 Rotational Support. Work from Office only Experience Required: 1-3 years Employment Type: Full-Time JD : Kindly refer to the end of the post Mandatory Requirements (How to generate your EPCN) EPCN number is mandatory for eligibility of the interview • Step 1: Visit • Step 2: Click to login • Step 3: Click New user (Register with us) • Step 4: Select "BPO" in areas of interest and complete the registration. (Fill the details) • Step 5: Once completed, your TCS no. will be generated which starts from EP2025XXXX. • Step 6: You will receive the EP number on your personal e-mail ID. Eligibility: • Minimum 15 years of regular, full-time education (10 + 2 + 3) • Should be flexible with night shifts & rotation shifts Overview: The Processor - HRM is a resource with required level of expertise, responsible to handle employee data updation (Hire, Job Data Changes / Personal Data Changes / Termination etc.) per standard operating procedures and 100% accuracy. The resource is responsible for workflow management for resolving employee/ customer issues. He/ she works with the respective managers to identify process improvements by identifying issues, process delays, and quality problems and display ownership in executing corresponding solutions. Main Skills : - "HR Operations expertise, - SAP & Excel Knowledge, - Communication, Comprehending and articulation skills" Formal Education & Certification: - Bachelor's degree in any discipline - SAP knowledge - Advance computer knowledge required (MS- Office Applications) - Proven ability to adapt to new tools by applying logical approach - Working Experience of 1.5 - 3 years in Employee Data Management Process. - Typing speed of 30 wpm with 100% accuracy Knowledge & Experience: • Excellent understanding of core process step and impact thereof • Excellent process knowledge of Employee Data Management. • Ability to properly research, identify, and document a system defect • Good understanding of various Systems/ applications being used to process • Ability to understand:- o the client administrative environment o the various Systems being used to process a participant issue o Workflow Management • Basic understanding of MIS • Good understanding of Service level agreements. Behavioral Attributes: • Good analytical, problem-solving and decision-making skills. • Good interpersonal, verbal and written communication skills. • Logical and efficient, with keen attention to detail. • Strong customer service orientation. • Ability to work in a team-oriented, collaborative environment. • Effective Troubleshooting skills. • Learning agility - Aptitude to venture in to unknown territories. • Good researching skills • Highly self -motivated, directed and should be high on initiative. • Ability to effectively prioritize and execute tasks. Core Role Responsibilities: • Manage company Structure, New Hire/Rehire, Separations, F&F Settlement, Payroll updates, etc. • Review and Approve Personal Information Changes. Contact management if any new hire is submitted with incorrect information or if anything is missing. • Supports answering helpdesk calls by making appropriate research as per standard procedure. • Updates information in the WFM scheduling system, performs analysis to determine impact to available resources for the day. • Runs Daily Pending PA report that is provided to the HR Ops Team. • Complete Mass uploads for data changes: Terms, Seniority Dates, and Minimum Wage. • Performs Workforce Management reporting, analysis, recommendations, and administrative tasks related to staffing and scheduling functions. • Conducts weekly audits of EE Data between all systems. Partners w/ IT on data discrepancies.



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