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Essity

Master Data Administrator

Essity

. Integrate, configure, validate, and maintain external information sources that support business decision-making.

Posted 9/17/2026full-timeMedellín • ColombiaJuniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data management and quality assurance, utilizing tools such as SQL and Power BI to support data-driven decision-making. Strong analytical thinking and effective communication skills are essential for promoting continuous improvement and collaboration.

Highest-signal resume keywords
Intermediate SQLAdvanced ExcelIntermediate Power BIData Management and QualityAnalytical Thinking

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data ManagementData QualitySQLExcelPower BIPythonData AnalysisIncident ResolutionMaster Data ManagementInformation Validation
Soft Skills
Effective CommunicationResults OrientationInnovationAttention to DetailCollaborative Work
Tools & Technologies
Analytical ToolsEmerging TechnologiesAI Systems
Industry Keywords
Industrial EngineeringAdministrative EngineeringSystems EngineeringControl EngineeringData-Driven Decision-Making

Tech Stack

Tools & technologies
PythonSQL

About the role

Key responsibilities & impact
  • Integrate, configure, validate, and maintain external information sources that support business decision-making.
  • Manage the integration of databases and external information sources to strengthen business knowledge.
  • Validate and maintain information quality using specialized tools and controls.
  • Implement and optimize tools for master data management and integrity.
  • Identify, analyze, and resolve incidents related to information sources.
  • Monitor data consistency and reliability to ensure proper use in decision-making.
  • Participate in continuous improvement initiatives to optimize data administration and management processes.
  • Promote the use of analytical tools and emerging technologies to strengthen business capabilities.

Requirements

What you’ll need
  • Professional degree in Industrial Engineering, Administrative Engineering, Systems Engineering, Control Engineering, or related fields in data management and analytics.
  • Minimum 1 year of experience in roles related to administration, management, or analysis of commercial data.
  • Intermediate SQL.
  • Advanced Excel.
  • Intermediate Power BI.
  • Basic Python (desirable).
  • Data management and quality.
  • Basic knowledge of Artificial Intelligence and prompt creation for AI systems and models.
  • Analytical thinking and critical reasoning.
  • Data-driven decision-making.
  • Effective communication.
  • Results orientation.
  • Innovation and continuous improvement.
  • Attention to detail.
  • Collaborative work.

Benefits

Comp & perks
  • Accessibility in our facilities
  • Flexibility in interview methods
  • Assistive technology tools
  • Dynamic and collaborative work environment
  • Opportunities to develop analytical capabilities
  • Opportunities to drive innovation and make a significant impact