Senior Manager, Digital Product Analytics

What is the opportunity?

As a Senior Manager, Digital Product Analytics, you will partner with digital product owners and development teams and use data to understand the customer acquisition journey in our digital and physical channels. In this role, you will perform in-depth analyses of users' digital interactions to inform actionable strategies to optimize the customer acquisition experience and drive client growth.

• Partner with digital product owners and development teams to define analytics requirements and KPIs aligned with client acquisition and growth targets
• Analyze digital data from web and mobile channels to measure the performance of existing client acquisition funnels, and use this to identify optimization opportunities
• Design and implement A/B and multi‑variate tests with statistical rigour, ensuring adequate sample sizes and appropriate significance levels
• Develop and maintain Tableau and Quicksight dashboards that provide stakeholders with visibility into key metrics
• Communicate findings and recommendations to stakeholders in clear, compelling ways that drive data‑driven decision‑making and influence digital product strategy
• Manage competing priorities, timelines, and expectations across multiple initiatives
• Define, communicate and enforce reporting and analytics standards, policies and data governance
• Contribute to continuous improvement of analytics processes, tools, and reporting capabilities

• 4+ years of work experience in data analytics, reporting, business intelligence, or related roles within a large, complex organization
• Hands‑on experience with big data technologies (Spark, Scala, or PySpark)
• Exposure to analytics platforms like Google Analytics 4
• Excellent communication and presentation skills with ability to influence cross‑functional stakeholders
• Demonstrated ability to prioritize effectively in a fast‑paced environment
• Strong team player with a track record of collaboration and experience working as part of an agile team

• Undergraduate or Master’s degree with focus in quantitative discipline (Statistics, Computer Science, Engineering, Math, Finance, Accounting)
• Strong experience creating dashboards and visualizations in Tableau and/or Amazon Quicksight is a big plus

• A comprehensive Total Rewards Program including bonuses and flexible benefits and competitive compensation
• Leaders who support your development through coaching and managing opportunities
• Ability to make a difference and lasting impact
• Work in a dynamic, collaborative, progressive, and high‑performing team
• Opportunities to do challenging work

• Actionable Insights
• Advanced Analytics
• Analytical Thinking
• Business Analytics
• Business Intelligence (BI)
• Critical Thinking
• Data Analytics
• Data Insights
• Interpersonal Relationship Management
• Performance Metrics
• Strategic Decisions

Address: RBC WATERPARK PLACE, 88 QUEENS QUAY W:

TORONTO

City:
Toronto

Country:
Canada

Work hours/week: 37.5

Employment Type:

Full time

Platform: PERSONAL & COMMERCIAL BANKING

Job Type: Regular

Pay Type:

Salaried

Posted Date:

Final date to receive applications:

Note:

Applications will be accepted until 11:59 PM on the day prior to the Final date to receive applications date above

At RBC, we believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities.

RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.

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RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity lified applicants may be contacted to review their resume in more detail.