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

1-3 Years
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Job Description

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

Job Title: Master Data Management

Date : November 30th 2025

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 https://ibegin.tcs.com/iBegin/

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.

More Info

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Job ID: 135101743