Market Data Analyst

Honda Canada Inc.Markham, ON
CA$72,921 - CA$86,593Hybrid

About The Position

The Market Data Analyst serves as the central data and reporting resource for Used Vehicle Sales Operations and Remarketing. The role is responsible for extracting, validating, and managing data from multiple internal and external sources, and transforming raw data into clear, actionable insights. The position ensures delivery of timely, accurate reporting and dashboards that support decision-making across the organization. Success is measured by the quality, consistency, and usability of reporting outputs that enable stakeholders to identify trends, optimize strategies, and drive business performance.

Requirements

  • Minimum College Diploma required
  • 1–3 years of experience in data analysis, reporting, or analytics roles (co-op/internship experience considered).
  • Strong proficiency in Microsoft Excel (pivot tables, formulas, data manipulation).
  • Strong attention to detail and ability to work with large datasets accurately.
  • Ability to translate technical data into clear, business-friendly insights.
  • Strong organizational, analytical, and problem-solving skills.
  • Ability to manage multiple reporting requests in a fast-paced environment.

Nice To Haves

  • University degree in Business, Finance, Data Analytics, or related field preferred.
  • Experience with data visualization tools (Power BI, Tableau) considered an asset.

Responsibilities

  • Extract, validate, and manage market, sales, and operational data to ensure accuracy, reliability, and availability for reporting and analysis.
  • Develop, maintain, and enhance standardized and ad hoc reports and dashboards to provide visibility into key performance metrics and trends.
  • Analyze vehicle pricing, residual values, and market conditions to identify risks and opportunities across the portfolio.
  • Translate complex data findings into clear, concise insights and recommendations for business stakeholders.
  • Collaborate with cross-functional teams to understand reporting needs and refine analytics requirements.
  • Maintain data integrity through quality checks and adherence to governance standards.
  • Automate and optimize reporting processes to improve efficiency and reduce manual effort.
  • Document data sources, reporting methodologies, and workflows to ensure consistency and scalability.

Benefits

  • On-Site Occasional Work-from-Home
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