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Jr. Business Analyst

Job in Brampton, Ontario, Canada
Listing for: NSK
Full Time position
Listed on 2026-06-16
Job specializations:
  • IT/Tech
    Data Analyst
Salary/Wage Range or Industry Benchmark: 60000 - 80000 CAD Yearly CAD 60000.00 80000.00 YEAR
Job Description & How to Apply Below
Position: Jr. Business Analyst )

NSK Canada is seeking a Jr. Business Analyst to apply analytical tools to drive improvements in pricing, inventory health, forecasting, and sales prospect conversion.

This position will identify and prioritize the greatest opportunities to leverage NSK Americas data to drive business solutions.

Collect and condition data from multiple sources and maintain databases.

Coordinate with different functional teams to implement models and automation.

Analyze data to identify patterns, trends and develop hypotheses.

Develop custom data models and algorithms to apply to datasets.

Build predictive forecasting models and monitor accuracy.

Communicate findings and actionable insights to stakeholders. Support production planning by analyzing product demand and setting service level targets to achieve sales and inventory goals.

Responsibilities
  • Analyze aftermarket demand and develop plans for North America on A&B items.
  • Support demand planning in Central and South America.
  • Set service level targets for inventory.
  • Monitor and adjust forecasts to targets.
  • Liaise with BCD functions for suggested ordering.
  • Query databases and use statistical computer languages, e.g., R, Python, SQL.
  • Lead through curiosity and continuous improvements.
  • Have technical experience with data visualization tools, e.g., Tableau, Power

    BI.
Qualifications
  • BS in Computer Science, Mathematics, Information Systems, or a related field is desired.
  • Minimum of a Bachelor's Degree in a related field and 1-2 years of position-related experience; preferably 2 to 4 years.
  • Excellent team-player with ability to work independently.
  • Knowledge of advanced statistical techniques and concepts (e.g., regression, probability distributions, statistical tests) and experience with applications.
  • Drive to learn new techniques and technologies as needed to achieve business goals.
  • Demonstrated experience applying data science methods to real-world data problems.
  • Technical expertise regarding data models, database design development, data mining and segmentation techniques.
  • Strong analytical skills with ability to collect, organize, analyze, and disseminate information with attention to detail and accuracy.
  • Excellent written and verbal communication skills, able to report and present findings.
Benefits
  • Generous vacation and holidays.
  • Medical, dental, vision insurance.
  • Life insurance.
  • Short-term and long-term disability.
  • Flexible Spending Account.
  • Generous retirement savings plan (RRSP).
  • Bonus Plan.
  • Competitive Salary with Benefits.
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