Data Analyst

COSMO • Toronto, ON

29d • Remote

About The Position

We are seeking a Data Analyst/Scientist to help drive data-informed decision making across product, customer experience, and operations. This role partners closely with cross-functional teams to build trusted analytics foundations, deliver insights and support strategic initiatives through data.

Requirements

• 5+ years of experience in data analytics, business analytics, or product analytics roles.
• Strong SQL skills and hands-on experience working in cloud data warehouses (e.g., Amazon Redshift), including designing analytical data models, creating and managing views, and optimizing queries.
• Demonstrated experience developing and validating predictive models using statistical and machine learning techniques and packages i.e. Scikit-learn and Tensorflow
• Proficiency with modern BI and visualization tools (e.g., Power BI, Tableau).
• Ability to translate business questions into structured analytical approaches and data requirements.
• Strong cross-functional collaboration and communication skills, with the ability to present insights clearly to technical and non-technical stakeholders.

Responsibilities

• Partner with cross-functional teams to define data requirements and build source-of-truth dashboards, curated datasets, and reporting assets used in day-to-day operations.
• Develop and maintain analytical data models that enable scalable and reliable analysis.
• Deliver actionable insights on customer behavior, product performance, and subscriptions, supporting decisions across Product, Marketing, and Operations.
• Design, develop, and implement predictive models (e.g., churn risk, customer lifetime value, propensity scoring) and integrate model outputs into operational dashboards and decision-making workflows.
• Automate recurring analyses, segmentation logic, and reporting workflows to improve scalability and reduce manual effort.
• Lead data unification initiatives, including data source evaluation, integration strategy, and canonical dataset design.
• Contribute to analytics and data engineering best practices, including documentation, validation, and data quality standards.

Benefits

• Competitive salary and benefits including 100% employer paid supplemental medical policy (Canada)
• Remote working environment
• An opportunity to make a significant impact in a fast-growing company
• Generous PTO
• Collaborative, creative, and supportive work environment

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 251-500 employees