HR Data Analyst

closed
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Xometry

πŸ“Remote - Argentine Republic

Summary

Xometry is seeking a skilled Data Analyst to join their People Operations team. The role involves analyzing HR data, maintaining its quality, improving HR processes, and creating data visualizations. The ideal candidate should have a Bachelor's degree in Statistics, Mathematics or related field, 5+ years of experience in HR data analysis, proficiency in HR systems and data analysis tools, and excellent communication skills.

Requirements

  • Bachelor's degree in Statistics, Mathematics or related field
  • 5+ years of experience in HR data analysis or a related field
  • Ability to communicate in fluent U.S. English in a business setting
  • Proficiency in HR systems and data analysis tools and software (e.g., Excel, ADP, Looker, Python, Salesforce, etc.)
  • Ability to communicate complex data insights clearly and effectively to both technical and non-technical audiences
  • Knowledge of HR metrics, KPIs, and industry best practices
  • Experience with HRIS systems and data integration

Responsibilities

  • Conduct in-depth analysis of HR data
  • Develop and maintain key performance indicators (KPIs) and metrics to measure HR effectiveness
  • Create insightful and actionable reports and dashboards
  • Identify trends, patterns, and anomalies in HR data to inform strategic decision-making
  • Ensure data accuracy, consistency, and completeness across HR systems and databases
  • Implement data cleaning and validation processes to maintain data quality
  • Collaborate with HR teams to identify opportunities for process improvement through data analysis
  • Develop data-driven recommendations to enhance HR efficiency and effectiveness
  • Support HR projects by providing data-driven insights and analysis
  • Create compelling data visualizations (e.g., charts, graphs, dashboards)

Preferred Qualifications

Knowledge of HR analytics methodologies and frameworks is heavily desired

Benefits

#LI-Remote

This job is filled or no longer available