Top Benefits
About the role
About the Role
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
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.
Qualifications
-
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.
Benefits
What We Offer:
- 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
Not the right fit? Search for Data Analyst jobs in Toronto, ON
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Top Benefits
About the role
About the Role
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
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.
Qualifications
-
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.
Benefits
What We Offer:
- 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
Not the right fit? Search for Data Analyst jobs in Toronto, ON