People Data Analyst

Summary

Join Payoneer as a People Data Analyst and leverage your analytical skills to empower enterprise leaders. You will analyze employee data, develop insightful reports and dashboards, and implement strategies to optimize human resource management. This role requires a Bachelor's degree, 2 years of relevant experience, and proficiency in statistical modeling and data visualization. The position offers a hybrid or remote work environment and the opportunity to work with a global team. Payoneer values collaboration, problem-solving, and a commitment to data accuracy and compliance. This role involves working independently with flexibility and authority over daily work priorities.

Requirements

• Bachelor's Degree in relevant field
• 2 years of relevant experience
• Knowledge: demonstrates professional expertise, applies company policies and procedures to resolve a variety of issues
• Problem Solving: Works on problems of moderate scope which are often varied and routine where analysis of situations or data requires a review of a variety of factors
• Collaboration: Builds productive internal/external working relationships to resolve mutual problems by collaborating on procedures or transactions

Responsibilities

• Analyze and report on data sets for a particular area to evaluate, recommend and support the implementation of business strategies and operational processes
• Apply statistical models to employee data, allowing enterprise leaders to identify opportunities to maximize human resources management
• Develop and maintain metrics, reporting and dashboards for all areas of human resources
• Conduct data audits and validations
• Other duties as assigned

Preferred Qualifications

• Experience extracting data from HRIS and other systems, including SuccessFactors, Workday, Greenhouse, Microsoft 365 Suite, Culture Amp
• Experience creating analytics, statistical models, and data visualizations using tools such as SAP Stories, Greenhouse, Power BI, Excel (advanced), Tableau, and Workday
• Deep understanding of HR processes and systems and data management
• Experience merging data from multiple sources to create analytics
• Strong attention to detail and accuracy
• Maintains up to date knowledge of relevant global data protection and compliance requirements, including GDPR and best practices regarding managing personally identifiable information (PII) and protected health information (PHI)

Benefits

Hybrid or remote work frame