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Data Analyst

  • Toronto, ON
  • Hybrid
  • Posted Oct 1, 2026
  • 1 position

$70,000–$80,000 / year

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Employment type
Full-time
Experience level
Mid-level · 5+ years
Minimum education
Bachelor’s degree
Posting language
English
Working hours
40 hours per week
Office presence
4 days per week

Job summary

The Data Analyst will own reporting and analytics across the business, building dashboards and working with large datasets to drive decision-making. They will partner with Finance, Sales, and Marketing teams to provide performance visibility and translate data into actionable business insights.

Job details

Data Analyst Role: Full-time, on-site 4 days/week (1 day remote) Location: Etobicoke, Ontario (Airport area) Comp: $70,000-$80,000 base + bonus + benefits About Us A profitable, privately owned, growing B2B company in the industrial space. Proudly Canadian and entrepreneurial, serving business customers across North America. With under 100 employees and a small, hands-on IT and data team, we're scaling while keeping a practical, no-politics, get-it-done culture. How We Work Data should drive decisions, not sit in dashboards. This role reports to the Director of IT and works across Finance, Sales, and Marketing to provide visibility into performance and help guide decision-making. You’ll own reporting and analytics across the business, building dashboards, working with large datasets, and partnering with stakeholders to understand what’s driving results. This is a hands-on role with a strong execution focus, but you’ll also be expected to go beyond reporting and help teams understand what the data means. About You You’re a detail-oriented Data Analyst who enjoys working with both data and people. You’re comfortable building dashboards, working with large datasets, and ensuring data accuracy. You don’t just deliver reports, you take the time to understand the business context and explain insights clearly. You’re reliable, organized, and proactive in identifying opportunities to improve reporting and data processes. You Bring: Strong experience building and maintaining Power BI dashboards (DAX, Power Query preferred) Ability to extract, structure, and analyze large datasets (Snowflake or similar) Experience ensuring data accuracy through validation, cleansing, and quality checks Strong SQL skills for data extraction and transformation Ability to translate data into clear, practical insights for business teams Experience working with cross-functional stakeholders (Finance, Sales, or Marketing) Advanced Excel skills for data manipulation and analysis Strong attention to detail and ability to stay organized in a high-volume environment Qualifications: 3–5+ years of experience in Data Analysis, Business Intelligence, or similar roles Bachelor’s degree in Data Science, Statistics, Computer Science, Business Analytics, or related field Strong understanding of business metrics (revenue, sales performance, margins, etc.) Experience working with ERP systems or internal business tools Strong communication skills with non-technical stakeholders Ability to manage multiple priorities in a fast-paced environment Bonus Points: Experience with Snowflake, PostgreSQL, or Azure-based environments Experience with data pipeline tools (e.g., FiveTran) Exposure to Power Automate or workflow automation tools Experience in distribution, logistics, or product-based businesses Exposure to pricing, margin, or sales analytics Perks: This role includes Health and Dental benefits + an Annual Bonus Plan Equal opportunity employer. This posting is for an existing vacancy. AI-assisted tools support our sourcing and application review; every hiring decision is made by a person. Interviewed candidates will hear back within 45 days.

What you’ll do

The Data Analyst will own reporting and analytics across the business, building dashboards and working with large datasets to drive decision-making. They will partner with Finance, Sales, and Marketing teams to provide performance visibility and translate data into actionable business insights.

Requirements

Candidates must have 3–5+ years of experience in Data Analysis or Business Intelligence and a bachelor's degree in a related field. Strong technical proficiency in SQL, Power BI, and large dataset management is required, along with excellent communication skills.

Benefits

  • Health benefits
  • Dental benefits
  • Annual bonus plan

Listed skills

  • Data visualization · Preferred
  • Power BI · Preferred
  • SQL · Preferred
  • ERP systems · Preferred
  • Data Validation · Preferred
  • Data analysis · Preferred
  • Microsoft Excel · Preferred
  • Communication · Preferred
  • Reporting · Preferred
  • Stakeholder Management · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

  • Power BI
  • DAX
  • Power Query
  • SQL
  • Snowflake
  • Data analysis
  • Data visualization
  • Data validation
  • Data cleansing
  • Excel
  • Business intelligence
  • Reporting
  • Stakeholder management
  • ERP systems
  • Communication

Job areas

  • Data & Analytics
  • Technology
  • Finance & Accounting
  • Sales
  • Marketing

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