Manager, Product Analytics

Role overview

Strategic partnership and analytics

• Partner with Product Management and cross-functional teams; translate business questions into analytical frameworks and recommendations.
• Analyze product performance, adoption, retention, engagement, revenue, customer behavior, and market trends.
• Develop KPIs, scorecards, and measurement frameworks; support forecasting, scenario modeling, pricing, investment decisions, and product strategy.
• Evaluate product launches and promotions; identify performance drivers, opportunities, and risks.
• Present insights and strategic recommendations to senior leaders and business partners.

BI, leadership, and data management

• Build and maintain executive dashboards, reporting solutions, and self-service analytics tools; establish consistent metrics and reporting standards.
• Ensure reporting accuracy and scalability, automate reporting, and improve processes.
• Mentor analysts and stakeholders, promote data literacy, and serve as the subject matter expert for product analytics methods.
• Champion data quality and governance; work with data engineering and technology teams to improve data access and usability.
• Develop scalable analytics capabilities and contribute to the analytics and BI roadmap.

Required qualifications

• Bachelor's degree in Business, Computer Science, Engineering, Mathematics, Statistics, Analytics, Economics, or a related discipline.
• At least 7 years in Business Intelligence, Analytics, Product Analytics, Data Science, or a related field.
• Experience supporting Product Management, Marketing, Sales, and Finance stakeholders and translating complex problems into actionable analysis.
• Advanced SQL and strong Python skills for analytics, data processing, automation, and analysis.
• Hands-on Azure Databricks experience; GitHub and version-control experience.
• Knowledge of ETL/ELT, data integration, data pipeline architecture, and cloud analytics environments.
• Advanced Power BI or similar business intelligence and visualization platform experience.
• Experience with large, complex datasets from multiple enterprise sources.

Additional qualifications

• Experience with Azure Data Factory, Synapse Analytics, or other Azure data services.
• Knowledge of statistical analysis, predictive modeling, and machine learning concepts.
• Experience in telecommunications, digital products, customer analytics, or commercial performance measurement.
• Familiarity with data governance, data quality, and master data management.
• Strong business acumen, analytical problem-solving, communication, presentation, and stakeholder relationship skills.
• Ability to influence without direct authority, manage multiple priorities, and work independently in a collaborative environment.

Benefits

• Competitive salary and annual bonus; health and dental benefits, pension, RRSP, TFSA, and stock matching programs.
• Employee discounts, paid volunteer time, charitable matching, career development, and wellness resources.

Schedule and travel

• Full-time regular position on a day shift; travel requirements are up to 10%.

Workplace

• Corporate employees are expected to work onsite.
• Work location listed as 333 Bloor Street East, Toronto, Ontario.

Selection process

• A pre-employment criminal background check is required; credit check and driver's abstract may be required depending on the role.