What is the opportunity?

We are seeking a highly skilled and experienced analytics professional to join our Cards, Analytics & Insights team as a Manager, Cards Analytics & Insights. In this key role, you will work closely with the Senior Manager and collaborate with various product teams within the Cards portfolio to drive strategic business initiatives and deliver data-driven insights that inform decision-making.

As a trusted business partner, you will provide consultative analytical support to key stakeholders across our Premium Cards portfolio. You will play a critical role in automating a number of analytics processes, developing standardized key metrics reports for business review discussions and providing actionable insights to inform business decisions across the cards portfolio. Your expertise will help drive efficiency, reduce complexity, and enhance the overall analytics capabilities of our Cards business.

What will you do?

• Provide end-to-end analytics advisory services, identifying underlying business trends and transforming them into actionable insights that drive business outcomes.

• Collaborate with cross-functional teams to develop and implement data-driven strategies that meet the unique needs of our Premium and Commercial Card customers.

• Leverage your technical expertise in programming languages such as SQL, SAS, and Python to analyze complex data sets and develop predictive models that inform business decisions.

• Communicate complex technical concepts and insights to non-technical stakeholders, including senior leaders and business partners.

• Develop and maintain strong relationships with key stakeholders, including product teams, sales teams, and external partners.

• Provide occasional support to other Senior Managers within Cards Analytics in supporting data analysis on other portfolios (i.e. Commercial/Small Business)

What do you need to succeed?

Must have:

• At least two previous work term experiences in clients, product, marketing, or risk analytical or reporting roles.

• Experience in supporting credit card business and/or financial services industry is an asset.

• Instinctive curiosity and strategic mindset to drill into analytics and understand business drivers.

• Technical ability to apply knowledge to resolve complex business questions.

• Proven ability to communicate clearly and concisely to all levels of the company.

• Strong skills in presentation and storytelling.

Nice to have:

• Knowledge in Hadoop, Data Visualization tools (Tableau, Power BI) and Big Data environment.

• Advanced degree in quantitative discipline

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.

• 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

Critical Thinking, Data Administration, Data Mining, Data Modeling, Data Movement, Detail-Oriented, Group Problem Solving, Quantitative Research, Research Documents

Additional Job Details

RBC WATERPARK PLACE, 88 QUEENS QUAY W:TORONTOTorontoCanada37.5Full timePERSONAL & COMMERCIAL BANKINGRegularSalaried2025-09-032025-09-17

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Inclusion and Equal Opportunity Employment

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.