Data Analytics Specialist

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.

Responsibilities

Operational Support 

• Identify and implement process improvements in the payroll journey to ensure efficiency and accuracy. 
• Lead process automation initiatives.
• Develop, maintain, and optimize dashboards and internal data products.
• Create and develop effective and automated payroll processes and control checks to ensure accuracy and completeness of payroll runs.
• Ensure data needs and insights are communicated effectively and actionably.
• Collaborate closely with cross-functional teams to identify opportunities for growth and efficiency improvements through data analysis.
• Spearhead the creation and delivery of regular reports and presentations that highlight key data insights and recommendations.
• Generate and analyze payroll reports for leadership and offer data-driven recommendations that influence strategic decision-making.
• Build Excel, Power BI, TM1and other data dashboards and reports
• Develop complex data models to assist with the team's reporting and process needs
• Support payroll audits by preparing accurate data and responding to audit queries
• Foster strong relationships with cross-functional teams.

Strategic Global Projects Support

• Collaborate directly with the Global Payroll Leader on enterprise-wide payroll transformation projects and standardization initiatives.

Key Skills

• Advanced proficiency in Excel, Power BI, and data visualization tools. (Ex: Power BI, TM1 or similar OLAP, HRIS)
• Knowledge of TM1 or other OLAP tools is an asset.
• Knowledge of BST11 is a plus
• Demonstrated experience in process improvement, data governance, or automation projects.
• Strong communication and interpersonal skills, with the ability to collaborate effectively across departments.
• High attention to detail with strong problem-solving, problem-solving abilities and analytical skills.
• Strong organizational and time management skills for a multiple priorities’ environment. 
• Ability to handle sensitive and confidential information with integrity.
• Full professional proficiency in English (both written and verbal) is required.

Education

• Post-secondary education in Data Analytics, Business, Finance, Accounting, or related field.

Experience

• 5+ years of proven experience in data analytics, with a portion of this experience focused on Payroll, HRIS, Finance, Accounting or HR related projects.
• Experience working in a multi-country or in a global environment is desirable.