Data Analytics Specialist - Payroll

We are seeking an experienced Data Analysis & Process Improvement Professional with a background in projects related to Payroll, HRIS, Compensation, Finance or Human Resources. The role will support both the Canada Payroll Manager in day-to-day operations and the Global Payroll Leader in driving key payroll transformation projects across regions combining analytical expertise, process improvement, and data-driven insights to enhance payroll accuracy, efficiency, and compliance.

Requirements

• Analyzing payroll data and producing accurate reporting for stakeholders
• Identifying and implementing process improvements in the payroll journey to ensure efficiency and accuracy
• Leading process automation initiatives
• Developing, maintaining, and optimizing dashboards and internal data products
• Creating and developing effective and automated payroll processes and control checks to ensure accuracy and completeness of payroll runs
• Performing Data audits in the Payroll, HRIS and Time & Attendance systems and verifying all data information is accurately transmitted and reconciled between systems
• Collaborating closely with cross-functional teams to identify opportunities for growth and efficiency improvements through data analysis
• Spearheading the creation and delivery of regular reports and presentations that highlight key data insights and recommendations
• Generating and analyzing payroll reports for leadership and offering data-driven recommendations that influence strategic decision-making
• Building Excel, Power BI, TM1 and other data dashboards and reports
• Developing complex data models to assist with the team's reporting and process needs
• Supporting payroll audits by preparing accurate data and responding to audit queries
• Fostering strong relationships with cross-functional teams
• Collaborating directly with the Global Payroll Leader on enterprise-wide payroll transformation projects and standardization initiatives

Benefits

• Opportunity to work with a global company
• Chance to develop skills in data analysis and process improvement
• Collaborative and dynamic work environment