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Data Analyst

Toronto, ONOnsiteFull Time$70,000–$80,000 /yrPosted 1 month ago

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Required skills

  • Power BI
  • DAX
  • Power Query
  • Snowflake
  • SQL
  • data accuracy
  • validation
  • cleansing
  • quality checks
  • insights

Nice to have

  • PostgreSQL
  • Azure
  • FiveTran
  • Power Automate
  • distribution
  • logistics

Role summary

A growing B2B industrial company is seeking a full-time, on-site Data Analyst to join their small, hands-on IT and data team. Reporting to the Director of IT, you will work across Finance, Sales, and Marketing to provide performance visibility and guide decision-making. This role involves owning business-wide reporting and analytics, building dashboards, analyzing large datasets, and translating data into clear, practical insights for non-technical stakeholders. The ideal candidate is detail-oriented, comfortable with data accuracy, and proactive in improving processes, with 3-5 years of experience in data analysis or BI.

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.

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