Senior Manager, Everyday Banking and Payments Analytics

RBC•Toronto, ON

4d•Onsite

About The Position

Our vision is to become Canadians’ top choice for payments and everyday banking by delivering exceptional client experiences, differentiated value, and sustainable revenue growth. As Senior Manager, Everyday Banking and Payments Analytics, you will drive strategic insights and portfolio management across Everyday Banking. You will leverage data and analytics to deepen our understanding of the business, client behavior, and shape product / go-to-market strategies. You will be working collaboratively with the broader Everyday Banking and Client Growth team, and use advanced analytical tools and multiple data sources (e.g. client segment data, bureau data, client behavior data across all RBC products, online and mobile interaction data) in order to formulate strategies that optimize the business, enhance product construct, and provide value to our customers. You will also be responsible for designing dashboards to support business reviews with Executives and complete deep dives to explain key trends and identify strategic opportunities.

Requirements

Strong analytical skills with the ability to interpret complex data and make data-based strategic decisions, while looking for opportunities to innovate.
Proficiency with data manipulation and analytical tools including Python, Excel, SQL, Tableau, Python.
Proven ability to collaborate with a diverse set of stakeholders in defining and solving business problems.
Ability to be effective and equally conversant in business and technical environment.
University degree in a quantitative field of study (e.g., statistics, economics, business, engineering) to demonstrate ability for critical thinking & numerical analytics.
5+ years related work experience in analytics, product or quantitative strategy roles.

Nice To Haves

Experience in building financial models /valuations
Experience with statistical tools, test design, and predictive analytics
Education or practice in Data Science, Machine Learning

Responsibilities

Leverage complex data to provide analytics and strategic insights for business decisions and to explore new opportunities for banking products, client growth & engagement, payments, and specialized client segments including: Detailed understanding of the product and segment analytics and financials, Business insight into acquisition and retention activities, channel performance and market share, Information in support of business optimization and business cases, Deep dives on new product innovation, Special projects as assigned
Work collaboratively with the Everyday Banking and Client Growth leadership team, and other analytics teams across the organization to enhance business decision-making through use of reporting, advanced analytics and combining multiple sources of data to measure key indicators of performance and early detection of opportunities, trends & anomalies.
Enhance reporting packages through automation to improve the efficiency and effectiveness of reports, providing management with concise, timely and insightful information on relevant matters relating to Everyday Banking and Client Growth portfolio.
Create materials to communicate the insights developed either through new monthly / quarterly reporting or specific stakeholder presentations and working sessions.
Work effectively with key stakeholders throughout the analytics and insights process to deliver high quality results aligned to the needs of the business.