Senior Manager, RBCx Analytics at Royal Bank of Canada

Toronto, Ontario, Canada -

Full Time

Start Date

Immediate

Expiry Date

05 Jun, 26

Salary

0.0

Posted On

07 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Business Acumen, Communication, SQL, Predictive Analytics, R, Python, Relational Databases, Statistical Programs, Data Tools/Platforms, Machine Learning, Tableau, Leadership

Industry

Financial Services

Description

Job Description RBCx is a new kind of organization – one that marries the strength of one of the world’s most trusted and successful financial institutions with a mission to reimagine the role we play in people’s lives. We are building a world class team focused on creating new experiences, exploring new business models and developing new relationships that add value to how people live and work. About RBCx Analytics The RBCx Analytics team solves strategic problems across the organization using a data-driven approach. We leverage data to unlock opportunities, influence strategy, assess the impact of business tactics and make relevant recommendations to the individual portfolio companies, internal or external partners. Our team has seen massive growth since last year, and have provided tremendous value across RBCx teams and RBC Lines of Business (LOB). Our priority is to continue the expansion of the team to scale our services and provide opportunities for new team members to find innovative solutions. What is the opportunity? Collaborate with RBCx and/or RBC’s partners to understand core business goals and help achieve results through a data driven approach. Develop strong relationships with your stakeholders to achieve superior business results and long lasting impact. Design and conduct analyses using various techniques (developing frameworks, dashboarding, segmentation, modeling) to provide value for the stakeholders you support. Communicate approaches & insights effectively to influence decision making at senior leadership levels. What do you need to succeed? Business acumen, curiosity, good communication, and strong technical skills. Must Have: 5+ years of relevant experience in an analytical function (e.g. Business Analytics, Consulting). 3+ years of SQL (for analyses & creating reports) with additional experience in predictive analytics (R, Python, etc.). Experience with complex, large-scale relational databases, and statistical programs, with an aptitude to adapt and implement additional technical applications or tools Experience managing data tools/platforms and hosting team-based knowledge sharing sessions Proven track record of communicating analytics and Machine Learning results back to business partners and/or C-level. Ability to inform and influence stakeholders cross-functionally through data, building relationships, while communicating early and often We like to have fun and work with people who are passionate about analytics. We are looking for someone who thrives in a diverse and inclusive culture. Nice to Have: Experience publishing reports/dashboards, and visualizations with Tableau is a big plus. Leadership experience (in direct and/or indirect reporting capacity). University degree in a quantitative field of study (e.g., statistics, economics, analytics) 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 The opportunity to learn about the business models of a variety of pillars within RBCx and RBC LOBs Leaders who support your development through coaching and managing opportunities Ability to make a difference and lasting impact Work in an agile, collaborative, progressive, and high-performing team The opportunity to interface with senior level executives from many different parts of the organization #RBCx Job Skills Artificial Intelligence (AI), Big Data Management, Data Mining, Data Science, Decision Making, Machine Learning (ML), Natural Language Processing (NLP), Predictive Analytics, Python (Programming Language), Statistical Analysis Additional Job Details Address: 20 KING ST 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: 2026-01-20 Application Deadline: 2026-03-21 Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above 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. Join our Talent Community Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you. Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com. 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 at RBC. Qualified applicants may be contacted to review their resume in more detail.

Responsibilities

Collaborate with RBCx and/or RBC partners to understand core business goals and drive results using a data-driven approach, while developing strong stakeholder relationships for long-lasting business impact. Design and conduct various analyses, including modeling and dashboarding, and effectively communicate insights to influence senior leadership decision-making.