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.