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Added 5 mins ago
MP
Human Resources/Office Administrator (Spanish speaking)
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Rogers Communications

Manager, Product Analytics

Toronto, ON, Canada

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Job details

Experience: 7+ years of experience in Business Intelligence, Analytics, Product Analytics, Data Science, or a related field.
Posting language: English
Posted: Oct 20, 2026

Original job description

Rogers Wireless is seeking collaborative, digital-first team members committed to keeping Canadians connected. As Canada's market leader, Rogers Wireless offers a range of specialized plans, products, and services through its three wireless brands: Rogers, Fido, and chatr. We are proudly paving the way for the future of wireless innovation on the country's largest and most reliable 5G network. Come build a rewarding career at Rogers and be a driving force behind our success story!

Who we are looking for:

The Manager, Product Analytics is a senior analytics professional within the Business Intelligence organization, dedicated to supporting the Product Management team and its stakeholders across Finance, Sales, Marketing, Customer Experience, and Operations.

Reporting to the Sr. Manager, Business Intelligence, this role serves as the primary subject matter expert for product analytics, performance measurement, customer insights, and decision support. The successful candidate will leverage advanced analytical techniques, business acumen, and strong stakeholder management skills to transform data into actionable insights that drive product strategy, customer outcomes, and business performance.

As a trusted advisor to business leaders, the Manager, Product Analytics will lead complex analytical initiatives, establish measurement frameworks, and champion data-driven decision-making across the organization.

What you’ll do:

Strategic Business Partnership

Serve as the primary analytics partner to Product Management and cross-functional stakeholders.
Act as the subject matter expert for product performance, customer behavior, market trends, and commercial analytics.
Partner with Product, Finance, Sales, Marketing, and Customer Experience teams to support strategic initiatives and business objectives.
Translate business questions into analytical frameworks and actionable recommendations.
Present insights and strategic recommendations to senior leadership and business partners.Support business case development, investment decisions, forecasting activities, and product strategy initiatives.

Product & Commercial Analytics

Lead analysis of product performance, customer adoption, retention, engagement, and revenue metrics.
Develop and maintain KPIs, scorecards, and measurement frameworks that assess product and business performance.
Identify trends, opportunities, risks, and performance drivers through deep analytical investigation.
Support forecasting, scenario modeling, pricing analyses, and strategic planning activities.
Evaluate the effectiveness of product launches, promotional programs, and other key business initiatives.Deliver actionable insights that support growth, profitability, and customer experience objectives.

Business Intelligence & Reporting

Design, develop, and maintain executive dashboards, reporting solutions, and self-service analytics tools.
Establish consistent metric definitions and reporting standards across business functions.
Ensure reporting accuracy, scalability, and alignment with business priorities.
Drive reporting automation and continuous process improvements to increase efficiency and insight generation.
Partner with stakeholders to ensure reporting solutions meet evolving business needs.

Analytics Leadership & Subject Matter Expertise

Serve as the organization's subject matter expert for product analytics methodologies and best practices.
Influence strategic decision-making through thought leadership and analytical expertise.
Provide guidance and mentorship to analysts and business stakeholders on analytical approaches and interpretation of results.
Promote data literacy and evidence-based decision-making across the organization.
Stay current on industry trends, emerging technologies, and analytics best practices.

Data Management & Continuous Improvement

Champion data quality, integrity, and governance practices.
Collaborate with data engineering and technology teams to improve data accessibility and usability.
Identify opportunities to enhance analytical capabilities, processes, and tools.
Support the design and implementation of scalable analytics solutions that enable business growth.
Contribute to the evolution of the organization's analytics and business intelligence roadmap.

What you bring:

Bachelor's degree in Business, Computer Science, Engineering, Mathematics, Statistics, Analytics, Economics, or a related discipline.
7+ years of experience in Business Intelligence, Analytics, Product Analytics, Data Science, or a related field.
Experience supporting Product Management, Marketing, Sales, and Finance stakeholders.
Demonstrated success translating complex business problems into actionable analytical solutions.
Proven ability to influence strategic business decisions through data-driven insights and recommendations.
Experience managing multiple priorities in a fast-paced, highly collaborative environment
Advanced proficiency in SQL for data extraction, transformation, analysis, and optimization.
Strong experience using Python for analytics, automation, data processing, and advanced analysis.
Hands-on experience with Azure Databricks for large-scale data processing, analytics, and pipeline development.
Experience using GitHub and version control best practices for code management, collaboration, and deployment.
Strong understanding of ETL/ELT processes, data integration, and data pipeline architecture.
Experience developing and maintaining analytics solutions within modern cloud-based data environments.
Advanced experience with Power BI or similar business intelligence and visualization platforms.
Experience working with large, complex datasets from multiple enterprise data sources.
Experience with Azure Data Factory, Synapse Analytics, or other Azure data services.
Knowledge of statistical analysis, predictive modeling, and machine learning concepts.
Experience supporting telecommunications, digital products, customer analytics, or commercial performance measurement.
Familiarity with data governance, data quality, and master data management principles.
Strong business acumen and strategic thinking capabilities.
Exceptional analytical and problem-solving skills.
Excellent communication and presentation skills, with the ability to translate technical findings into business insights.
Strong stakeholder management and relationship-building abilities.
Ability to influence decisions and drive alignment without direct authority.
Self-motivated, highly organized, and comfortable operating independently.
Passion for leveraging data to solve complex business challenges and improve customer outcomes.
A commitment to Diversity, Equity, Inclusion, Belonging, and Accessibility, helping create an environment where everyone feels welcomed, valued, and supported.

What Success Looks Like

Trusted advisor to Product Management and business leaders.
Delivery of impactful insights that influence product and commercial strategy.
Adoption and effectiveness of reporting, dashboards, and self-service analytics solutions.
Increased data-driven decision-making across Product, Marketing, Sales, and Finance functions.
Improved visibility into product performance, customer behavior, and business outcomes.
Recognition as the organization's go-to expert for product analytics and performance measurement.

What’s in it for you?

We believe in investing in our people and helping them reach their potential as valuable members of our team. As part of our team, you’ll have access to a wide range of incredible resources, growth opportunities, discounts, and perks, including:

Competitive salary & annual bonus
Competitive & flexible health and dental benefits, pension plan, RRSP, TFSA, and Stock matching programs.
Discounts: Enjoy up to 50% off Rogers Services and Blue Jays Tickets, 25% off TSC items, and a 20% discount on all wireless accessories sold in Rogers stores.
Paid time off for volunteering
Company matching contributions to charities you support
Growth & Development Opportunities:
- Self-driven career development programs
- Rogers First: priority in applying to internal roles of interest
Wellness Programs:
- Employee & Family Assistance Program
- Virtual Healthcare
- Cognitive Behavioural Therapy (CBT)
- Low or no-cost fitness membership
Our commitment to diversity:
An inclusive and diverse workplace where you can bring your whole self to work.

If you are selected to move forward in the recruitment process, here is what you can expect:

15-minute phone screen with your recruiter, an interview with Hiring Manager. Best of luck!

To protect our people, brand and assets, a pre-employment background check will be conducted. As part of our selection process, all candidates must clear a criminal background check. Additionally, a credit check and drivers abstract may be required depending on the role.

Schedule: Full time Shift: Day Length of Contract: Not Applicable (Regular Position) Work Location: 333 Bloor Street East (012), Toronto, ON Travel Requirements: Up to 10% Background Check(s) Required: Criminal Record and Credit Check Posting Category/Function: Marketing & Product Management Requisition ID: 343971

To support career growth, collaboration, and high-performing teams, all Corporate Employees are expected to work onsite. We believe that in-person connection strengthens our culture and drives industry-leading performance.

At Rogers, we believe the key to a strong business, is a diverse workforce where equity and inclusion are core to making everyone feel like they belong. We do this by embracing our diversity, celebrating our different perspectives, and working towards creating environments that empower our people to bring their whole selves to work. Everyone who applies for a job will be considered. We recognize the business value in creating a workplace where each team member has the tools to reach their full potential by removing any barriers for equal participation. We work with our candidates who are experiencing a disability throughout the recruitment process to ensure that they have what they need to be at their best. Please reach out to our recruiters and hiring managers to begin a conversation about how we can ensure that you deliver your best work. You matter to us! For any questions, please visit the Recruitment Process FAQ.

Posting Notes: Corporate

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More about this job

Responsibilities

The Manager, Product Analytics serves as a subject matter expert, partnering with cross-functional teams to translate business questions into analytical frameworks and actionable insights. They are responsible for leading complex analytical initiatives, developing performance measurement frameworks, and maintaining executive dashboards to drive product strategy.

Requirements

Candidates must hold a bachelor's degree in a relevant field and possess at least 7 years of experience in analytics or business intelligence. Proficiency in SQL, Python, Azure data services, and Power BI is required, along with strong stakeholder management and communication skills.

Skills

Product analytics
Business intelligence
SQL
Python
Azure Databricks
Power BI
Data visualization
Stakeholder management
Strategic planning
Forecasting
Statistical analysis
Predictive modeling
Machine learning
Data governance
ETL/ELT processes
GitHub

Benefits

Health and dental benefits
Pension plan
RRSP
TFSA
Stock matching programs
Employee discounts
Paid time off for volunteering
Charity matching contributions
Career development programs
Wellness programs
Employee & Family Assistance Program
Virtual healthcare
Cognitive behavioural therapy

Visa sponsorship

Not detected in the job text

Keywords

Product Analytics
Business Intelligence
SQL
Python
Azure Databricks
Power BI
GitHub
ETL
ELT
Azure Data Factory
Synapse Analytics
Statistical Analysis
Predictive Modeling
Machine Learning
Data Governance
KPIs
Scorecards
Scenario Modeling
Pricing Analysis
Telecommunications
Customer Analytics
Commercial Performance
Data Literacy
Strategic Planning
Product Management
Data Engineering
Master Data Management
Cloud-based Data Environments
Digital Products
Performance Measurement

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