Data Analyst, Payroll Implementation

Magna International

Aurora

On-site

CAD 60,000 - 90,000

Full time

14 days+
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Job summary

Magna International is seeking a Data Analyst for Payroll Implementation to analyze data, cleanse and transform datasets, and deliver insights to optimize payroll processes. You will collaborate with the project team, validate data from multiple sources, and build dashboards to visualize findings for stakeholders.

The role emphasizes data quality, cross-functional partnership, and adherence to payroll compliance.

Qualifications

  • Bachelor's degree in a data-related field.
  • Proven experience as a data analyst, preferably in payroll.
  • Strong proficiency in SQL, Excel, Power BI, or Tableau for data analysis and visualization.
  • Excellent data manipulation and data cleansing skills.
  • Knowledge of database management, data warehousing, and data integration concepts.
  • Strong analytical and problem-solving skills.
  • Ability to interpret complex data and present insights clearly.
  • Attention to detail and accuracy in data analysis.
  • Payroll processes, systems, and compliance knowledge is a plus.

Responsibilities

  • Collaborate with project team to understand data requirements for payroll system implementation.
  • Gather, validate, and analyze data from multiple sources ensuring accuracy.
  • Perform data cleansing and transformation for consistency and integrity.
  • Develop and maintain data models, reports, and dashboards to visualize findings.
  • Identify trends and anomalies; provide insights to optimize payroll processes.
  • Provide customized reports and analysis for stakeholders across functions.
  • Collaborate with IT to ensure data integration and migration from legacy systems.
  • Validate data and reconcile across systems to ensure consistency.
  • Support data quality initiatives and industry best practices in payroll analytics.
  • Stay updated on data analysis trends and apply them to payroll projects.

Skills

Data analysis
Data cleansing
Data visualization
Data modeling
Payroll knowledge
Teamwork
Communication
ETL

Education

Bachelor's degree in Data Science, Statistics, Computer Science, or a related field

Tools

SQL
Excel
Power BI
Tableau

Job description

As a Data Analyst for Payroll Implementation, your primary responsibility will be to analyze and interpret data related to the implementation of a new payroll system. You will work closely with the project team to gather and validate data, perform data cleansing and transformation, and provide insights and recommendations based on your analysis.

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.

Additional Information

Accommodations for disabilities in relation to the job selection process are available upon request.

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