Data Analyst for Payroll Implementation

2 weeks ago


Aurora, Ontario, Canada Magna Full time
Job Summary

We are seeking a highly skilled Data Analyst to join our Payroll Implementation team at Magna. As a key member of our team, you will be responsible for analyzing and interpreting data related to the implementation of our new payroll system.

Key Responsibilities
  • Collaborate with the project team to understand data requirements for the payroll system implementation.
  • Gather, validate, and analyze data from various sources, ensuring data accuracy and completeness.
  • Perform data cleansing and transformation to ensure data consistency and integrity.
  • Develop and maintain data models, reports, and dashboards to visualize and present data analysis findings.
  • Identify trends, patterns, and anomalies in data, and provide insights and recommendations to optimize payroll processes.
  • Work closely with stakeholders to understand their data analysis needs and provide customized reports and analysis.
  • Collaborate with IT teams to ensure data integration and migration from legacy systems to the new payroll system.
  • Perform data validation and reconciliation to ensure data accuracy and consistency between different systems.
  • Assist in the development and implementation of data quality control measures to ensure data integrity.
  • Stay updated with industry best practices and trends in data analysis and implement them in the payroll implementation process.
Key Qualifications/Requirements
  • Bachelor's degree in Data Science, Statistics, Computer Science, or a related field.
  • Proven experience as a data analyst or similar role, preferably in the payroll domain.
  • Strong proficiency in data analysis and visualization tools such as SQL, Excel, Power BI, or Tableau.
  • Excellent data manipulation and data cleansing skills.
  • Knowledge of database management systems, data warehousing, and data integration concepts.
  • Strong analytical and problem-solving skills.
  • Ability to interpret complex data and present insights in a clear and concise manner.
  • Strong attention to detail and accuracy in data analysis.
  • Ability to work effectively in a team and collaborate with cross-functional stakeholders.
  • Knowledge of payroll processes, systems, and compliance requirements is an asset.


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