ANDRITZ

Master Data Analyst – Global HR Team

ANDRITZ

full-time

Posted on:

Location Type: Hybrid

Location: Santiago • Chile

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About the role

  • Maintain, validate, and update global HR master data within SAP SuccessFactors
  • Monitor data quality, resolve inconsistencies, and coordinate corrective actions with HR and IT teams
  • Ensure adherence to global data governance standards and data protection policies
  • Identify root causes of recurring data issues and propose sustainable improvements
  • Contribute to HRIS enhancements, testing, documentation, and continuous improvement initiatives
  • Help refine end-to-end master data processes to increase efficiency, accuracy, and alignment
  • Collaborate with regional HR teams to promote standardization and global alignment
  • Support global HR reports and dashboards related to employee master data
  • Analyze trends and patterns to identify risks, gaps, and opportunities for improvement
  • Strengthen data-driven decision-making across the Global HR team

Requirements

  • Experience in Master Data Management and HRIS platforms (SuccessFactors preferred)
  • Strong analytical skills, exceptional attention to detail, and a passion for data quality
  • Ability to interpret complex datasets and translate findings into actionable insights
  • Clear communication skills and ability to collaborate in an international environment
  • A structured, proactive, and solution-oriented working style
  • Commitment to data protection and confidentiality
  • Alignment with #1ANDRITZway behaviors
Benefits
  • Health insurance
  • Retirement plans
  • Paid time off
  • Flexible work arrangements
  • Professional development
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
Master Data ManagementHRISdata qualitydata governancedata protectiondata analysisdata-driven decision-makingdata enhancementdata documentationdata process improvement
Soft Skills
analytical skillsattention to detailcommunication skillscollaborationproactive working stylesolution-orientedstructured working stylepassion for data qualityability to interpret datasetsability to translate findings