Data Analyst – Toronto, Canada

Location: Toronto, Ontario, Canada

Company: Amazon Canada

About the Role

We are looking for a detail-oriented and analytical Data Analyst to support data-driven decision-making and business performance.

The ideal candidate will analyze data, identify trends, create reports, and provide insights that help teams improve processes and achieve business goals.

Key Responsibilities

Collect, clean, and analyze large datasets from multiple sources.
Create reports, dashboards, and data visualizations.
Identify trends, patterns, and insights to support business decisions.
Work with teams to understand data requirements and reporting needs.
Monitor key performance indicators (KPIs) and business metrics.
Validate data accuracy and resolve data quality issues.
Prepare analytical reports and presentations for stakeholders.
Support process improvements through data-driven recommendations.

Your Profile

Bachelor’s degree in Data Analytics, Statistics, Computer Science, Business, or related field.
Experience as a Data Analyst, Business Analyst, or similar role.
Strong knowledge of Excel and data analysis techniques.
Experience with SQL, reporting tools, or data visualization platforms.
Ability to interpret complex data and communicate insights clearly.
Strong problem-solving and analytical skills.
Attention to detail and ability to manage multiple priorities.
Legal authorization to work in Canada.

Preferred Qualifications

Experience with tools such as:
SQL.
Python/R.
Tableau.
Power BI.
Advanced Excel.
Experience working with large-scale business data.
Experience in e-commerce, technology, logistics, or operations analytics.

What We Offer

Competitive salary package.
Professional and collaborative work environment.
Career development opportunities.
Training and skill development support.
Opportunity to work with a leading global organization.

Apply Now

If you are a skilled Data Analyst looking for an opportunity in Toronto, Canada, we would like to hear from you.

Submit your updated CV including:

Current location.
Data analytics experience.
Technical skills.
Availability.

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