Manager, Digital Product Analytics - 12month contract

RBC

Toronto

Hybrid

CAD 90,000 - 120,000

Full time

9 hours ago
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Benefits offered by this job

Total rewards program
Coaching & development opportunities
Dynamic, high-performing team

Job summary

RBC is seeking a Manager, Digital Product Analytics to help our digital teams understand the customer acquisition journey across digital and physical channels. You will deliver reports, dashboards, and analyses, and work with cross-functional teams to maintain data quality and integrity.

You will lead end-to-end development of Tableau and QuickSight reports, tell data-driven stories about the client journey, and continuously improve analytics processes.

Qualifications

  • 3+ years in data analytics or related roles in a large organization.
  • Hands-on experience with Spark, Scala, or PySpark.
  • Experience with Google Analytics 4 and analytics platforms.

Responsibilities

  • Translate business problems into technical specifications and deliver new reports, dashboards and analyses.
  • Tell narratives from web and mobile data to explain the client acquisition journey.
  • Own end-to-end development of new Tableau and QuickSight reports for stakeholders.
  • Maintain and optimize existing reporting solutions.
  • Ensure data quality through analytics tagging and server-side tracking with cross-functional teams.
  • Manage competing priorities and timelines across initiatives.
  • Contribute to continuous improvement of analytics processes and tools.

Skills

Data analytics
Tableau
Quicksight
Big data technologies
Google Analytics 4
Stakeholder communication
Agile teamwork

Education

Bachelors degree in quantitative field
Masters degree in a related field

Tools

Tableau
Amazon QuickSight

Job description

What is the opportunity?

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.

Job Description

This role works in the office 3 to 4 days a week.

What will you do?
  • 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
What do you need to succeed? Must have:
  • 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
Nice-to-have:
  • 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
What's in it for you?

We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

  • 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
Job Skills

A/B Testing, Big Data, Business Acumen, Collaboration, Customer Acquisition, Customer Journey Analysis, Data Analytics, Deep Dive Analysis, Reporting and Analysis, Visualizations

Additional Job Details

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: Contract (Fixed Term)

Pay Type: Salaried

Posted Date: 2026-08-28

Application Deadline: 2026-09-12

Our Employment Opportunities

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.

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