Data Analyst
Offre en anglaisThe Data Analyst will own reporting and analytics across Finance, Sales, and Marketing to provide performance visibility and guide decision-making. This role involves building dashboards, managing large datasets, and partnering with stakeholders to translate data into actionable business insights.
- Sur place
- Toronto, ON
- Publié 1 mai 2026
- 1 poste
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Résumé du poste
About Us A profitable, family-run, growing group of companies in the Industrial Packaging and Distribution space. Proudly Canadian and entrepreneurial, with multiple divisions. We serve customers across North America, with core operations and leadership based in Canada. With 60+ employees and a tightly run finance team, we’re scaling while maintaining a practical, no-politics, get-it-done culture. How We Work Data should drive decisions, not sit in dashboards. This role 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 & Details: Full-time, on-site (5 days/week) with flexible hours Location: Etobicoke / Airport area Compensation: $65,000 – $80,000 base + benefits Cross-functional exposure across Finance, Sales, and Marketing Stable company with long-term growth potential
Ce que vous ferez
The Data Analyst will own reporting and analytics across Finance, Sales, and Marketing to provide performance visibility and guide decision-making. This role involves building dashboards, managing large datasets, and partnering with stakeholders to translate data into actionable business insights.
Exigences
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 Power BI, SQL, and Snowflake is required, along with excellent communication skills for cross-functional collaboration.
Avantages
• Benefits
Compétences indiquées
- Analyse de donnéesSouhaitée
Autres compétences pertinentes
Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.
- Power BI
- DAX
- Power Query
- Snowflake
- SQL
- Data Analysis
- Business Intelligence
- Data Validation
- Data Cleansing
- Excel
- Reporting
- Data Visualization
- Stakeholder Management
- ERP Systems
- Business Metrics
Domaines d’emploi
- Data & Analytics
- Finance & Accounting
- Sales
- Marketing
- Logistics
Renseignements supplémentaires
- Formation minimale
- Baccalauréat
- Expérience minimale
- 5+ ans
- Langue de l’offre
- anglais
- Heures de travail
- 40 heures par semaine