Analytics Engineer, RBCx

RBC; Toronto; Hybrid; CAD 90,000 - 150,000; Full time

Job summary

RBCx Analytics in Toronto seeks an innovative Analytics Engineer to build and scale data infrastructure, models, and dashboards. You will collaborate with RBCx and RBC partners to translate strategic goals into scalable data solutions and ensure data quality and observability across pipelines.

The role emphasizes strong SQL/Python, ETL/ELT design, and effective communication with senior leaders. The position operates in-office 3–4 days weekly, offering an engaging, inclusive culture.

Qualifications

• 2+ years of analytics/ data engineering experience.
• Strong SQL and Python for data modeling, automation, and pipelines; dbt a plus.
• Design and implement ETL/ELT pipelines with focus on data quality and performance.
• Experience with large-scale relational databases and data platforms.
• Knowledge of Git and CI/CD for data pipelines.
• Ownership for data quality, reliability, and performance.
• Business acumen, curiosity, communication, high attention to detail, and strong technical skills.
• Experience managing data tools/platforms and leading knowledge sharing sessions.
• Proven ability to communicate analytics to business partners and/or C‑level.
• Ability to influence stakeholders cross-functionally through data.

Responsibilities

• Build, maintain, and optimize the data analytics stack including ETL pipelines, orchestration, and data infrastructure
• Own and evolve data models and pipelines that drive data assets, dashboards, reporting, and downstream analysis
• Collaborate with RBCx and RBC partners to translate core business goals into scalable data solutions
• Apply best practices for data testing, observability, and CI/CD to ensure reliable data products
• Contribute to internal data documentation and governance practices
• Develop strong relationships with stakeholders to achieve superior business results
• Communicate technical approaches and data insights effectively to influence decision making at senior leadership levels

Job description

Job Description

RBCx is a new kind of organization – one that marries the strength of one of the world’s most trusted and successful financial institutions with a mission to reimagine the role we play in people’s lives. We are building a world class team focused on creating new experiences, exploring new business models and developing new relationships that add value to how people live and work.

About RBCx Analytics

The RBCx Analytics team solves strategic problems across the organization using a data-driven approach. We leverage data to unlock opportunities, influence strategy, assess the impact of business tactics and make relevant recommendations to the individual portfolio companies, internal or external partners. Our team has seen massive growth since inception, and have provided tremendous value across RBCx teams and RBC Lines of Business (LOB). Our priority is to continue the expansion of the team to scale our services and provide opportunities for new team members to find innovative solutions.

This role works in the office 3 to 4 days a week.

What is the opportunity?

• Build, maintain, and optimize the data analytics stack including ETL pipelines, orchestration, and data infrastructure

• Own and evolve data models and pipelines that drive data assets, dashboards, reporting, and downstream analysis

• Collaborate with RBCx and/or RBC’s partners to understand core business goals and translate them into scalable data solutions

• Apply best practices for data testing, observability, and CI/CD to ensure reliable, trustworthy data products

• Contribute to internal data documentation and governance practices

• Develop strong relationships with your stakeholders to achieve superior business results and long-lasting impact

• Communicate technical approaches and data insights effectively to influence decision making at senior leadership levels

What do you need to succeed?

Must Have:

• 2+ years of relevant experience in analytics engineering, data engineering, or related analytical function

• Strong programming skills in SQL and Python for data modeling, automation, and pipeline development (experience with dbt is a plus)

• Proven ability to design and implement ETL/ELT pipelines with a focus on data quality and performance

• Experience with complex, large-scale relational databases and data platforms, with an aptitude to adapt and implement additional technical applications or tools

• Knowledge of version control (Git) and CI/CD practices for data pipelines

• Strong ownership and accountability for data quality, reliability, and performance

• Business acumen, curiosity, good communication, high attention to detail, and strong technical skills.

• Experience managing data tools/platforms and hosting team-based knowledge sharing sessions

• Proven track record of communicating technical approaches and analytics results back to business partners and/or C-level

• Ability to inform and influence stakeholders cross-functionally through data, building relationships, while communicating early and often

• We like to have fun and work with people who are passionate about analytics. We are looking for someone who thrives in a diverse and inclusive culture

Nice to Have:

• Advanced degree in a quantitative field of study (e.g., statistics, economics, analytics, computer science, engineering)

• Experience with cloud data warehouses (Snowflake, BigQuery, Redshift)

• Experience with data observability and monitoring tools

• Experience publishing reports/dashboards and visualizations with Tableau or Power BI is a big plus

• Leadership experience (in direct and/or indirect reporting capacity)

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.

• Comprehensive Total Rewards Program including bonuses and flexible benefits

• Opportunity to lead analytics infrastructure strategy across RBCx portfolio companies and influence

• RBC enterprise data & analytics capabilities

• Leaders who support your development through coaching and managing opportunities

• Ability to make a difference and lasting impact

• Work in an agile, collaborative, progressive, and high-performing team

• The opportunity to interface with senior level executives from many different parts of the organization

Job Skills

Access Data, CI/CD, Data Engineering, Data ETL, Git, Microsoft Power Business Intelligence (PBI), Python (Programming Language), Snowflake (Platform), Structured Query Language (SQL), Tableau (Software)

Additional Job Details

Address

20 KING ST 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

2026-08-31

Application Deadline

2026-09-14

Note

Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Our Employment Opportunities

At 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.