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Added 13 mins ago
BC
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TC
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I
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Rogers Communications

Manager Retail Analytics

Toronto, ON, Canada

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Job details

Posting language: English
Posted: Nov 2, 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 Retail Analytics & Reporting team is seeking an experienced analytics professional to lead Retail-wide target setting, target relief, and performance analytics. This role provides analytical leadership, governance, and data stewardship to deliver accurate, reliable, and actionable insights supporting sales performance, compensation, forecasting, and strategic business decisions.

The successful candidate will coordinate the evaluation and socialization of target and relief initiatives across the Retail organization, partner with Directors, Vice Presidents, store and area managers, channel leaders, and senior leadership, and help modernize reporting through automation, artificial intelligence integration, Databricks, Power BI, and cloud transformation.

What you will be doing:

Lead the governance, analysis, coordination, and data stewardship of Retail target setting and target relief programs across the organization.
Evaluate target allocations and relief scenarios using performance trends, forecasting, compensation considerations, and business impact analysis.
Develop and present recommendations to Directors, Vice Presidents, store and area managers, channel leaders, and senior leadership to build alignment and influence target and relief decisions.
Provide advanced sales performance analytics, forecasting, and decision support for sales strategy, compensation, performance management, and business planning.
Determine analytical approaches, reporting methodologies, validation techniques, data-quality controls, and issue-resolution methods for target and relief analytics.
Drive reporting automation, artificial intelligence adoption, and cloud modernization using Databricks, Power BI, Structured Query Language, and related analytical solutions.
Translate complex business requirements and data into scalable reporting, actionable insights, and clear executive-level communication.
Partner with peers and cross-functional teams to resolve data issues, establish consistent analytical standards, and deliver business outcomes on time.
Provide day-to-day guidance and subject-matter expertise to analysts and peers, including mentoring, reviewing analytical approaches, and promoting data and reporting standards, without formal people-management accountability.

What you bring

University degree in Business, Analytics, Data Science, Statistics, Mathematics, or a related discipline.
Five to seven or more years of progressive experience in business analytics, sales performance reporting, target setting, compensation analytics, forecasting, data governance, automation, cloud technologies, stakeholder management, and executive-level reporting.
Advanced expertise in sales analytics, target setting, compensation analysis, forecasting, and performance management.
Proficiency in Databricks, Power BI, Structured Query Language, data modelling, reporting automation, data governance, and artificial intelligence-enabled analytics.
Strong understanding of Retail sales operations, target and relief programs, business-impact analysis, and the relationship between performance measures and compensation outcomes.
Excellent written and verbal communication skills, with the ability to translate complex analysis into clear recommendations and influence senior stakeholders.Strong stakeholder management, facilitation, organizational, and time-management skills, with the ability to manage changing priorities and tight deadlines.
Ability to work independently, exercise sound judgment, establish analytical standards, and coordinate complex cross-functional deliverables.
Microsoft Power BI, Azure Data Fundamentals, Data Analytics, or artificial intelligence and automation
A commitment to Diversity, Equity, Inclusion, Belonging, and Accessibility, helping create an environment where everyone feels welcomed, valued, and supported.

Key relationships

Directors, Vice Presidents, senior leadership, store and area managers, and channel leaders.
Finance, Compensation, Human Resources, Sales Operations, Analytics, Data, and Technology teams.
Peers and cross-functional business partners across the Retail organization.

Leadership scope

This is a senior individual-contributor role that provides guidance, mentoring, and subject-matter leadership to analysts and peers. The role does not have formal people-management accountability.

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 (824), Toronto, ON Travel Requirements: Up to 10% Background Check(s) Required: Criminal Record and Credit Check Posting Category/Function: Reporting and Analytics & Report Development Requisition ID: 344279

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

Lead governance, analysis, and data stewardship for Retail target-setting and target-relief programs, using performance trends, forecasting, compensation considerations, and business-impact analysis to develop recommendations. Deliver advanced sales analytics and decision support, modernize reporting with automation and cloud technologies, and guide peers while coordinating with senior leaders and cross-functional teams.

Requirements

Requires a university degree in Business, Analytics, Data Science, Statistics, Mathematics, or a related discipline, plus five to seven or more years of progressive relevant experience. Candidates should bring advanced sales, target-setting, compensation, and forecasting expertise; proficiency with Databricks, Power BI, SQL, data modeling, and reporting automation; and strong communication, stakeholder-management, and organizational skills.

Skills

Retail Analytics
Sales Performance Analytics
Target Setting
Target Relief Analysis
Compensation Analysis
Forecasting
Data Governance
Data Stewardship
Databricks
Power BI
SQL
Data Modeling
Reporting Automation
Artificial Intelligence
Stakeholder Management
Executive Communication

Visa sponsorship

Not detected in the job text

Keywords

Retail Analytics
Target Setting
Target Relief
Sales Performance
Compensation Analytics
Forecasting
Business-Impact Analysis
Data Governance
Data Stewardship
Databricks
Power BI
SQL
Data Modeling
Reporting Automation
Artificial Intelligence
Cloud Modernization
Performance Management
Sales Operations
Data Quality Controls
Executive Reporting
Stakeholder Management
Cross-Functional Collaboration
Azure Data Fundamentals
Data Analytics
Retail Operations

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