About the role

  • Data Analyst driving data-informed decision making for product, customer experience, and operations. Collaborating with cross-functional teams and delivering insights through trusted analytics.

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.

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.

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

Job title

Data Analyst

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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