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Open nowFirst seen 47 hours ago

ERP/Data Manager

GenZ Talent8 open roles

Where
Lahore, Pakistan
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Your applicationOpen nowERP/Data ManagerGenZ Talent · Lahore, Pakistan
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Share of postings closed within
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  2. 4.4%3 days
  3. 11.8%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: first seen 47 hours ago

The posting

Position: Data Manager

Location: Lahore, Pakistan

Reports To: Business Unit Manager / Internal Operations Manager (UK)

Working Style: On-site / Full-time

Compensation: PKR 75,000 150,000 per month

Experience Required: 1-3 years (Data Administration / Analysis)

Language Requirement: Fluent English (written and verbal)

Position Summary

The Data Manager will play a key role in supporting the companys ERP systems and AI-based data projects. The position involves reviewing, cleaning, and enriching datasets to ensure accuracy, completeness, and compliance. The role also supports machine learning initiatives by preparing high-quality datasets and validating results, contributing to improved sales growth and operational efficiency.

Key Responsibilities

  • Update and maintain ERP/CRM databases with accurate and complete information.
  • Identify and correct data inconsistencies and errors in systems.
  • Source and verify missing information from internal and external references.
  • Support AI/ML data projects by preparing and validating training datasets.
  • Collaborate with the IT team in the UK to ensure aligned processes.
  • Generate reports and dashboards for management decision-making.
  • Maintain data integrity, confidentiality, and compliance with company policies.

Qualifications & Experience

  • Education: Bachelors degree or diploma in IT, Data Science, Business Administration, or a related field.
  • Experience: Prior experience in data management, analysis, or administration preferred.
  • Technical Skills: Strong proficiency in MS Excel, Word, and Outlook. Understanding of ERP or CRM systems is an advantage.
  • Attention to Detail: High level of accuracy, consistency, and reliability in managing data.
  • Communication: Effective written and spoken English and local language proficiency.
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