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Vendor Personnel

eClerx

Mohali, Punjab, India · Full Time

Be the first to apply

Experience
Any
Salary
Openings
1
Posted
1 hour ago
Work mode
In office
Education
Any graduate
Eligibility
Any graduate may apply.
Resume
Required to apply

Where you'll work

Job description

Role overview

This position focuses on handling high-volume e-commerce datasets with a strong emphasis on precision, structured processing, and adherence to established workflows. It is well suited to freshers and professionals at the beginning of their careers who want to develop a solid base in data operations and analytics.

About the company

eClerx is a business process management, automation, and analytics company serving several Fortune 2000 organizations across industries such as financial services, communications, retail, fashion, media and entertainment, manufacturing, travel and leisure, and technology. Established in 2000, the company is listed on both the Bombay Stock Exchange and the National Stock Exchange of India. It has a workforce of 13,000 people spread across Australia, Canada, Germany, India, Italy, the Netherlands, the Philippines, Singapore, Thailand, the UK, and the USA.

Responsibilities

  • Enter and extract data from e-commerce platforms.
  • Check, cleanse, and structure information to maintain accuracy.
  • Keep trackers and reporting files up to date.
  • Work in line with standard operating procedures and complete regular quality checks.
  • Assist with everyday data operations and support tasks.

Skills required

  • Strong attention to detail
  • Logical thinking and problem-solving
  • Basic Excel skills
  • Google Sheets proficiency
  • Data entry and data handling
  • Data validation and quality review
  • Report and tracker maintenance
  • Willingness to learn new tools, including AI fundamentals
  • Ability to manage repetitive work accurately

Eligibility

Any graduate may apply.

Additional information

This opportunity is aimed at candidates who can work carefully with routine tasks and maintain consistency while processing large datasets. A learning mindset and comfort with structured work are important for success in this role.

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