πΉ Job Title: Manager, Marketing Analytics
πΉ Company: Royal Bank of Canada
πΉ Location: Toronto, Ontario, Canada
πΉ Job Type: Full-time
πΉ Category: Banking & Finance
πΉ Date Posted: April 10, 2025
πΉ Experience Level: Mid-Senior level
πΉ Remote Status: On-site
Key aspects of this role include:
ASSUMPTION: This role requires a strong analytical mindset, excellent communication skills, and the ability to work effectively with various teams.
β Collaborate with business and marketing partners to understand priorities and define analytical objectives.
β Develop actionable analyses and insights to help develop optimized marketing campaigns and enable product groups and marketing to meet their campaign strategy objectives.
β Construct dashboard and reporting prototypes and work closely with the Data Enablement and Reporting team to ensure campaign and channel measurement metrics are delivered appropriately.
β End-to-end responsibility for analyses, including framing and negotiating analytical objectives with partners, sourcing relevant data, performing in-depth analyses, and presenting actionable insights to stakeholders in a timely and effective manner.
β Identify revenue-enhancing and cost-saving opportunities while ensuring relevant insights are being applied to evolve strategies.
β Apply experimental design, test and learn methodologies, and perform statistical analyses (significance tests, segmentation, regression, decision tree, etc.) where needed to optimize strategies.
β Collaborate in a cross-functional team environment in marketing stages to review business cases, verify campaign design documents, project financial impact, and develop analytical plans to ensure analytical requirements are captured and analytical objectives are well understood and meaningful.
β Develop new methods and techniques to analyze a variety of marketing programs like acquisition, growth, retention, cross-sell, media, triggers, online, and transformational initiatives.
ASSUMPTION: This role requires a strong analytical mindset, excellent communication skills, and the ability to work effectively with various teams.
Education: Undergraduate degree in a quantitative discipline (e.g., mathematics, statistics, econometrics, computer science)
Experience: 2+ years of experience with strong technical skills (i.e., SAS, SQL, Excel, PowerPoint, Tableau) and 1-2 years of experience in a client-facing analytical database marketing or related role with proven knowledge in the application of experimental design and statistical analysis of results.
Required Skills:
Preferred Skills:
ASSUMPTION: Candidates should have a strong analytical mindset, excellent communication skills, and the ability to work effectively with various teams.
Salary Range: CAD 100,000 - CAD 150,000 per year (based on industry standards for a Manager, Marketing Analytics role in Toronto)
Benefits:
Working Hours: 37.5 hours per week
ASSUMPTION: The salary range provided is an estimate based on industry standards for a Manager, Marketing Analytics role in Toronto. Actual compensation may vary based on the candidate's experience and qualifications.
Industry: Banking
Company Size: 10,001+ employees
Founded: 1864 (as a bank; Royal Bank of Canada was established in 1901)
Company Description:
Company Specialties:
Company Website: http://www.rbc.com
ASSUMPTION: Royal Bank of Canada is a large, established financial institution with a global presence and a strong focus on innovation and client experience.
Career Level: Mid-Senior level
Reporting Structure: This role reports directly to the Senior Manager, Marketing Analytics.
Work Arrangement: On-site, full-time
Growth Opportunities:
ASSUMPTION: This role offers excellent growth opportunities for the right candidate, with the potential to take on more significant responsibilities and lead a team as the role evolves.
Office Type: Modern, high-rise office building
Office Location(s): RBC Waterpark Place, 88 Queens Quay W, Toronto, Ontario, Canada
Geographic Context:
Work Schedule: Monday to Friday, 9:00 AM to 5:00 PM (with a 30-minute lunch break)
ASSUMPTION: Toronto offers a dynamic, multicultural work environment with a strong financial industry and a growing tech sector. The office is located in a modern, high-rise building in the heart of the city.
Typical Process:
Key Assessment Areas:
Application Tips:
ATS Keywords: Marketing Analytics, Manager, A/B Testing, Experimental Design, Statistical Analysis, Business Statistics, Commercial Acumen, Critical Thinking, Customer Analytics, Detail-Oriented, Group Problem Solving, Marketing Campaigns, Market Segmentation, SAS Enterprise Guide, Structured Query Language (SQL)
ASSUMPTION: The application process for this role is competitive, and candidates should be prepared to demonstrate their analytical skills, business acumen, and cultural fit throughout the interview process.
ASSUMPTION: Candidates should be proficient in the listed tools and technologies, with a strong preference for experience with SAS and SQL.
Company Values:
Work Style:
Self-Assessment Questions:
ASSUMPTION: Candidates should be able to demonstrate a strong cultural fit with Royal Bank of Canada's values and work style, with a particular emphasis on service, trust, and a collaborative, high-performing work environment.
ASSUMPTION: Candidates should be prepared to face these challenges and demonstrate their ability to manage complex projects, prioritize effectively, and work collaboratively in a large organization.
ASSUMPTION: Candidates should understand the unique aspects of this role and be prepared to discuss how their experience and skills align with the specific requirements of the position.
ASSUMPTION: Candidates should be able to discuss their experience with relevant projects and demonstrate their ability to apply analytical skills to real-world business problems.
ASSUMPTION: Candidates should prepare thoughtful questions that demonstrate their interest in the role and the organization, as well as their understanding of the specific requirements and challenges of the position.
To apply for this position:
β οΈ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.