Manager, NBA Measurement & Analytics

RBC•Toronto, ON

2d•Hybrid

About The Position

Next Best Action (NBA) is foundational in RBC’s Personal Banking strategy to deliver more value for all Canadians through simpler experiences, more thoughtful recommendations, and more holistic support. The team directly contributes to RBC’s ambition to Win for Tomorrow by enabling hyper-personalized journeys that are scalable, measurable, and powered by leading-edge analytics and AI innovation. We’re looking for a Manager, NBA Measurement and Analytics to join the NBA group and contribute to the enterprise experimentation efforts. In this role, you will design, execute, and evaluate experiments that optimize campaign performance and inform client engagement strategies. You’ll help drive a culture of experimentation that accelerates learning, sharpens decision-making, and advances RBC’s leadership in personalized marketing and financial advice. This is an opportunity to shape the future of client engagement at the #1 bank in Canada, named one of the world’s most AI-mature financial institutions where bold thinking, innovation, and data-driven action create real value for clients and the communities we serve. This is a hybrid role and will require to work from the office 3 to 4 days a week.

Requirements

Academic background in Data Science, Statistics, Mathematics, or a related field
3 to 5 years of work experience as a Data Scientist or Data Analyst within Marketing Analytics
3 to 5 years of work experience programming experience with large databases/datasets using Python, SQL, and/or PySpark
Excellent communication and presentation skills sharing business insights with senior managment.
Knowledge and work experience of testing methodologies (e.g., A/B testing, statistical significance, hypothesis testing)
Understanding of Statistics & Causal Inference concepts (e.g., hypothesis testing, power analysis, T-test, Z-Test, ANOVA)

Nice To Haves

Big Data
Business Insights
Executive Presenting
Marketing Analytics
Microsoft Excel
Microsoft PowerPoint
PySpark
Python (Programming Language)
Structured Query Language (SQL)

Responsibilities

Design, execute, and evaluate enterprise-level marketing experiments across channels and client segments.
Work closely with Marketing and Business partners to analyze the experiment results with statistical methods
Develop the scalable data pipeline for analytical ready datasets to automate KPI calculations.
Translate complex test results into clear, actionable insights that influence strategy and campaign performance.
Maintain documentation, ensure data security compliance, and promote best practices within the organization