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Added 50 mins ago
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Marketing Analyst, Consumer & Operator Insights
''
Toronto, ON
Full-time
Position Title: Marketing Analyst, Consumer & Operator Insights

Rogers Communications

Senior Analyst, Product Insights

Toronto, ON, Canada

Posting language: English
Posted: Aug 26, 2026

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Original job description

At Rogers, we put our customers first in everything we do! We’re growing our Customer Experience teams and are looking for team members who are committed to showing our customers and Canadians that we support them through their journey. Our Customer Experience team is enthusiastic, empathetic, and moved to make a difference –we’re passionate about people and ready to provide the ultimate customer experience to our customers. At Rogers, we're committed to connecting Canadians. Ready to build a rewarding career with us? If so, consider the following opportunity:

Role Overview

We are seeking a Senior Analyst, Product Insights to support the Entertainment product portfolio. This role sits at the intersection of product, content, and financial performance, with a mandate to translate customer behavior, content consumption, and commercial signals into clear, actionable recommendations that improve product outcomes and P&L performance.

The role moves beyond reporting. It focuses on identifying growth opportunities, diagnosing performance drivers, and shaping product and packaging decisions through advanced analysis and emerging AI capabilities. The ideal candidate combines structured problem solving, strong business acumen, and hands-on data capability, with an increasing focus on leveraging AI to accelerate insight generation and decision-making.

What you'll do:

Product Insight & Performance Strategy

Analyze customer behavior and product engagement across linear, streaming, and emerging formats
Identify drivers of acquisition, retention, and monetization and translate into product recommendations
Evaluate product and packaging performance, including the impact of content and streaming integrations
Develop clear narratives that connect customer trends to business impact

P&L and Business Performance Optimization

Assess product-level economics, including cost-to-value relationships
Provide data-driven recommendations to optimize product profitability and portfolio performance
Support business case development for new product features, and partnerships
Monitor and track financial outcomes vs. plan, identifying risks and opportunities early

AI-Enabled Insights & Decisioning

Leverage AI tools and techniques to accelerate insight generation, pattern detection, and forecasting
Contribute to the development of AI-driven agents or workflows that automate recurring analysis and improve decision velocity
Apply AI to synthesize large, complex datasets into simplified executive-ready insights
Continuously identify opportunities to embed AI into product and analytics workflows

Data Product & Tooling Development

Partner with Data Engineering and Product teams to define scalable insight frameworks and data models
Build and evolve self-serve tools, dashboards, and performance trackers aligned to business priorities
Establish standardized KPIs and measurement frameworks across the Entertainment portfolio
Ensure frictionless access to insights for product, content, and leadership teams

Strategic Collaboration

Work cross-functionally with Product, Finance, Marketing, and CBM teams
Influence decision-making through clear, structured communication and executive-level storytelling
Support negotiations and strategic initiatives with fact-based insights and scenario analysis

What You Bring

Strong analytical and structured problem-solving skills, with ability to translate data into business insights
Experience working with large datasets and multiple data sources
Proven ability to connect customer behavior to financial outcomes and product decisions
Ability to operate in ambiguity and prioritize highest-impact opportunities
Proficiency in SQL and data visualization tools (Power BI, Tableau or equivalent)
Experience leveraging AI tools to enhance analysis and insight generation
Exposure to building or contributing to AI agents, workflows, or intelligent dashboards is a strong asset
Familiarity with experimentation, forecasting, or predictive modeling is preferred
Understanding of media, entertainment, and streaming ecosystems
Strong financial acumen, including P&L analysis and business case development
Ability to synthesize content, product, and commercial dynamics into coherent insights
Highly self-directed and outcome-oriented
Strong communicator with the ability to influence senior stakeholders
Detail-oriented with a focus on accuracy and clarity
Comfortable managing multiple priorities in a fast-evolving environment

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/credit background check and ID verification.

Schedule: Full time Shift: Day Length of Contract: Not Applicable (Regular Position) Work Location: 333 Bloor Street East (908), Toronto, ON Travel Requirements: None Background Check(s) Required: Criminal Record and Credit Check Posting Category/Function: Reporting and Analytics & Analyst Requisition ID: 339336

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

Analyze customer behavior, content consumption, and product and financial performance to identify growth opportunities and recommend improvements to product, packaging, and profitability. Develop AI-enabled insights and scalable analytics tools, and collaborate with Product, Finance, Marketing, and other teams to influence decisions and track business outcomes.

Requirements

Candidates should have strong analytical and financial skills, experience working with large datasets and multiple data sources, and proficiency in SQL and data visualization tools such as Power BI or Tableau. The role also calls for experience using AI in analysis, strong communication and stakeholder influence, and familiarity with media, entertainment, and streaming; experimentation, forecasting, or predictive modeling experience is preferred.

Skills

Data Analysis
Structured Problem-Solving
SQL
Data Visualization
Power BI
Tableau
Artificial Intelligence
Financial Analysis
P&L Analysis
Forecasting
Predictive Modeling
Experimentation
Customer Behavior Analysis
Product Performance Analysis
Executive Communication
Cross-Functional Collaboration

Visa sponsorship

Not detected in the job text

Keywords

SQL
Power BI
Tableau
Artificial Intelligence
AI Agents
AI Workflows
Intelligent Dashboards
Data Visualization
Large Datasets
Customer Behavior
Product Insights
Product Analytics
Content Consumption
Streaming
Entertainment
P&L Analysis
Product Economics
Business Case Development
Forecasting
Predictive Modeling
Experimentation
KPI Frameworks
Data Models
Self-Service Analytics
Scenario Analysis
Portfolio Performance
Customer Acquisition
Customer Retention
Monetization
Executive Storytelling

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