About the Role
As a Manager, Digital Product Analytics, you will report to the Director of Digital Product Analytics to help digital teams understand the customer acquisition journey in our digital and physical channels. In this role, you will be responsible for delivering reports, dashboards and analytic deep-dives, as well as working with cross-functional teams to maintain data quality and integrity through monitoring analytics implementations to ensure accurate measurement and reporting.
Responsibilities
- Translate business problems into technical specifications and execute on requirements through the delivery of new reports, dashboards and analytic deep-dives
- Extract clear narratives from web and mobile data, combining analytical perspectives and domain knowledge to effectively tell the story around the client acquisition journey
- Own the end-to-end development of new reports in Tableau and Quicksight, providing stakeholders with visibility into key metrics
- Maintain and find areas to optimize existing reporting solutions
- Ensure the accuracy and integrity of data collected through analytics platform tagging and server-side tracking, working closely with cross-functional business analysts and developers to set requirements and monitor implementation
- Manage competing priorities, timelines, and expectations across multiple initiatives
- Contribute to continuous improvement of analytics processes, tools, and reporting capabilities
Requirements
- 3+ 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
Skills
- A/B Testing
- Big Data
- Business Acumen
- Collaboration
- Customer Acquisition
- Customer Journey Analysis
- Data Analytics
- Deep Dive Analysis
- Reporting and Analysis
- Visualizations
- Tableau
- Amazon Quicksight
- Spark
- Scala
- PySpark
- Google Analytics 4
Location
- RBC WATERPARK PLACE, 88 QUEENS QUAY W:TORONTO
- Toronto
- Canada
Work Type
- Office 3 to 4 days a week
- Full time
- Contract (Fixed Term)
Experience Level
- 3+ years of work experience
Education Level
- Undergraduate or Master’s degree with focus in quantitative discipline (Statistics, Computer Science, Engineering, Math, Finance, Accounting)
Salary/Compensations
- Salaried
Benefits
- A comprehensive Total Rewards Program including bonuses and flexible benefits and competitive compensation
About the Company
- At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One 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.
Equal Opportunity
- RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.
