Data Analyst

Job Title: Data Analyst Location: Toronto, ON Duration: 6 Months with possible extension Role Overview We are seeking a highly analytical and business-focused Data Analyst to transform complex data into actionable insights that support strategic decision-making and business growth. This role requires end-to-end ownership of business dashboards, analytics initiatives, and data-driven projects while partnering closely with cross-functional stakeholders. As a key analytics partner, you will collaborate with business leaders, analytics teams, and data engineering teams to scope, prioritize, and deliver impactful insights that improve business performance.

Key Responsibilities Own, maintain, and optimize key business insights dashboards, serving as the primary point of contact between business users and analytics/data engineering teams. Identify opportunities to improve dashboard functionality, reporting accuracy, and overall data quality. Lead analytics projects from initiation to delivery, managing priorities, clarifying ambiguous business requests, defining timelines, and ensuring successful execution.

Perform complex ad-hoc analysis using SQL , including: Customer segmentation Cohort analysis Funnel performance analysis Root cause analysis Translate analytical findings into clear, actionable recommendations to support business strategy. Build, enhance, and maintain scalable dashboards (primarily in Tableau ) for KPI tracking, business health monitoring, and funnel visibility. Communicate insights effectively to both technical and non-technical stakeholders, including senior leadership, through compelling storytelling and data visualization.

Drive data-informed decision-making by synthesizing complex datasets into meaningful business narratives. Required Qualifications 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. Expert-level proficiency in SQL , including: 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. Strong analytical thinking and problem-solving abilities with experience handling ambiguous business problems independently.

Excellent communication and storytelling skills with the ability to present insights clearly to business stakeholders. Strong project ownership with the ability to manage multiple priorities in fast-paced environments. High attention to detail and commitment to data accuracy and quality.

Proven ability to collaborate cross-functionally with analytics, product, engineering, and business teams. Preferred Qualifications Master’s degree in Analytics, Data Science, Statistics , or a related field. Experience with A/B testing , experimentation design, and performance measurement.

Prior experience in e-commerce , product analytics, marketing analytics, or customer analytics. Understanding of data engineering concepts and working knowledge of data pipelines and data quality management.