Data Analyst

About the role

We are looking for a highly analytical, business‑focused Data Analyst to turn complex data into actionable insights that drive strategic decisions and growth. This 6‑month fixed‑term position in Toronto offers the chance to own end‑to‑end dashboard development and lead analytics projects while collaborating with cross‑functional teams.

Key responsibilities

• Own, maintain, and optimize business insight dashboards, acting as the primary liaison between business users and analytics/data engineering teams.
• Identify and implement improvements to dashboard functionality, reporting accuracy, and data quality.
• Lead analytics projects from scope to delivery, managing priorities, clarifying ambiguous requests, defining timelines, and ensuring successful execution.
• Conduct complex ad‑hoc analysis using SQL for customer segmentation, cohort analysis, funnel performance, and root‑cause investigations.
• Translate analytical findings into clear, actionable recommendations for business strategy.
• Build, enhance, and maintain scalable Tableau dashboards for KPI tracking and business health monitoring.
• Communicate insights effectively to technical and non‑technical stakeholders, including senior leadership, through storytelling and data visualization.

Required profile

• Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, or a related quantitative field.
• 3–6 years of experience in Data Analysis or Business Analysis with increasing ownership and complexity.
• Strong analytical thinking, problem‑solving abilities, and the capacity to handle ambiguous business problems independently.
• Excellent communication and storytelling skills for presenting insights to business stakeholders.

Required skills

• Expert‑level proficiency in SQL (complex joins, window functions, CTEs, query optimization).
• Strong hands‑on experience with Tableau for building and maintaining production dashboards.
• Advanced Microsoft Excel skills, including pivot tables, advanced formulas, and large dataset manipulation.
• Proficiency in Python for data analysis, scripting, and automation.