Job Description
What is the Opportunity?
The Advanced Data Insights & Integration (ADII) Team of Personal Banking is seeking a passionate and innovative Marketing Science Analyst to join our Marketing Optimization & Planning pillar. This is a role that bridges marketing and business expertise with technical analytics capabilities. You will be responsible for identifying business opportunities, evaluating data sources, defining modeling requirements, and partnering with Data Scientists to expand our marketing measurement capabilities. The ideal candidate combines marketing/media domain knowledge with hands-on analytical skills to drive innovation in how we measure and optimize marketing effectiveness.
What will you do?
Partner with Marketing and Media teams to translate business challenges into structured analytical problems, identifying opportunities to expand measurement capabilities (e.g., controlled experimentation design, upper vs. lower funnel effect, portfolio-level product marketing analysis, geographic modeling)
Investigate and evaluate new data sources for marketing mix modeling and other analytics use cases, such as media execution and attribution metrics, third-party competitive and market research, internal CRM, web analytics, and transaction data
Assess data quality, completeness, and granularity of new data sources; determine which metrics should be incorporated into models and why (e.g., impressions for reach-based analysis)
Collaborate with Data Scientists to define model specifications, variable selection, and transformation logic, and recommend new modeling capabilities such as geographic models, impression-based models, and channel interaction effects
Design and analyze marketing experiments (geo tests, holdout tests) to validate model recommendations and measure incrementality
Validate model inputs and outputs from a business perspective; conduct deep-dive analyses to explain model findings and identify drivers of KPI changes
Create visualizations and dashboards using Tableau, or Python/R libraries
Serve as liaison between Marketing/Media teams and Data Science team; translate technical model outputs into actionable marketing recommendations and present insights to cross-functional audiences
Train marketing teams on interpreting MMM results and using optimization tools; create documentation and manage relationships with external media agencies and data vendors
What do you need to succeed?
Must-have
Bachelor's degree in Marketing, Business, Economics, Statistics, Mathematics, or related field; Master's degree (MBA, MS in Marketing Analytics) preferred
3-5 years of experience in marketing analytics, media planning, digital marketing, or marketing strategy roles, preferably in financial services
Strong understanding of media planning and buying across traditional (TV, radio, print, OOH) and digital channels (display, video, social, search, programmatic); knowledge of media metrics (impressions, reach, GRPs, CPM, CPA, ROAS)
Python proficiency: hands-on experience with pandas, NumPy, matplotlib/seaborn for data analysis and visualization
SQL foundation: strong ability to write complex queries including joins, aggregations, and CTEs
Experience working with AWS (S3, Glue) or other cloud platforms; comfortable with cloud-based notebook environments (Jupyter, SageMaker)
Hands-on experience analyzing media agency data and reconciling discrepancies; familiarity with marketing analytics platforms (Google Analytics, Adobe Analytics, Google/Meta Ads Manager)
Understanding of data quality concepts, validation techniques, and ETL/ELT processes; experience with Git/GitHub for version control
Strong business acumen with ability to connect analytics to business outcomes; excellent communication skills to explain complex concepts to non-technical audiences
Stakeholder management experience working with cross-functional teams (Marketing, Data, Finance, Agencies); problem-solving mindset comfortable with ambiguity; self-starter who proactively identifies opportunities
Nice to have
Experience with marketing mix modeling tools (Meta Robyn, Google Meridian) or exposure to MMM projects; understanding of causal inference concepts (incrementality, test-and-learn)
R programming experience with tidyverse, dplyr, ggplot2
Advanced data visualization skills with Tableau, Power BI, Looker; ability to build executive-level dashboards
Familiarity with programmatic advertising and DSP platforms (e.g. DV360, Amazon DSP)
Experience conducting geo-experiments, matched market tests, or A/B testing programs
Understanding of customer lifetime value (CLV) modeling and attribution models (multi-touch, data-driven)
Experience working in agile/scrum methodologies or contributing to open-source analytics projects
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, competitive compensation, commissions, and stock where applicable
Leaders who support your development through coaching and managing opportunities
Ability to make a difference and lasting impact
A world-class training program in financial services
Flexible work/life balance options
#LI-POST
#TECHPJ
Job Skills
Business Appraisals, Business Process Modeling, Commercial Acumen, Communication, Critical Thinking, Group Problem Solving, Interpersonal Relationship Management, Requirements Analysis, Resource Management, Team ManagementAdditional Job Details
Address:
City:
Country:
Work hours/week:
Employment Type:
Platform:
Job Type:
Pay Type:
Posted Date:
Application Deadline:
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.
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.