Sr. Data Analyst – Campaign Delivery, NBA CIDM

Job Description

What is the opportunity?​

Serving as the RBC “Centre of Expertise” within the Next Best Action (NBA) Delivery team in the deployment of data-driven, targeted client communications for Next Best Action. You will champion and successfully manage through uncertainty and change in a fast-paced environment while leading and supporting team members through the process, and keeping them focused on business priorities

We are looking for an experienced Data Analyst to contribute and build upon the ecosystem with collaboration with our technology/business partners across the bank. This is a highly technical role requiring hands-on experience with data and decisioning tools (e.g., SAS, SQL, Python/ Teradata). The candidate selected will be responsible for integrating, building code and executing effective and efficient direct marketing as well as migrating existing campaigns to a new platform (SAS to Lumina – Jupiter Notebooks).

What will you do?

• Campaign Execution:

  Deliver complete, accurate, and timely campaign execution aligned with business objectives.

  Translate technical specifications into code for deploying direct marketing tactics across multiple channels.

  Conduct quality assurance audits to ensure campaign design and build meet business needs.

• Data & Compliance:

  Adhere to Data Stewardship and Governance policies, supporting Canadian Banking strategies.

  Maintain corporate reputation by strictly following privacy guidelines, ethics, and governance policies.

• Technical Expertise:

  Highly skilled in data mining and developing complex campaigns.

  Integrate learnings from past and post-campaign results to optimize strategies.

  Demonstrate leadership in process improvement and coding efficiency.

• Innovation & Efficiency:

  Identify and implement methods to shorten the marketing cycle or reduce costs.

  Ensure CRM concepts (e.g., predictive models) and CIDM best practices are applied daily by self and team.

What do you need to succeed?

Must-have:

• Technical Skills:

  Hands-on experience in Python, SAS, SQL, and relational database marketing.

  2+ years of specialty expertise in structured programming and data analytic tools (e.g., SAS, SQL, Python).

  2+ years of experience in experimental design and application.

• Problem-Solving & Innovation:

  Strong problem-solving skills and adaptability to emerging technologies.

  Experience simplifying and automating workflows to enhance client outcomes.

  Continuous improvement mindset.

• Collaboration & Communication:

  Ability to work independently and collaboratively in agile environments.

  Strong lateral relationship-building through influence.

  Excellent written and oral communication skills for insightful explanations.

• Project & Time Management:

  Strong project management, implementation, and time management skills.

  Ability to work steadily and accurately under pressure, especially during peak periods.

  Attention to detail and critical time management.

• Learning & Growth:

  Curiosity and passion for continuous learning and helping others.

• Industry Experience:

  Strong experience in the financial services industry, with marketing understanding as an asset.

Nice to have:

• Facilitation Skills
• Strategic mindset

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.

• Ability to make a difference and lasting impact
• Work in a dynamic, collaborative, progressive, and high-performing team
• Opportunities to do challenging work

Job SkillsBusiness Analytics, Business Intelligence (BI), Commercial Acumen, Critical Thinking, Customer Analytics, Data Science, Decision Making, Detail-Oriented, Group Problem Solving, Long Term Planning, Professional Presentation, Programming Languages, Python (Programming Language), SAS, Structured Query Language (SQL)Additional Job Details

Address:

RBC WATERPARK PLACE, 88 QUEENS QUAY 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:

2026-04-02

Application Deadline:

2026-04-17Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date aboveOur Employment OpportunitiesAt 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.

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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.