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Analytics Engineer Data Analyst Jobs in Toronto, ON

Shape the future of B2B payments -- Data Engineer, BI & Reporting (Analytics Engineer / BI Engineer Hybrid) About the Role We're hiring a Data Engineer, BI & Reporting to own and scale the reporting ...

... level analytics, data services, governance support, and operational data management for Global ... The successful candidate will combine strong technical expertise in data engineering, programming ...

We are seeking an experienced Analytics Engineer to help transform data into meaningful insights and scalable solutions that drive business decisions. This role is focused on enabling high-quality ...

You will design the company's data architecture, build pipelines and analytical models, and create ... Work with data engineering to ensure reliable pipelines and data availability * Unify data across ...

We leverage data to unlock opportunities, influence strategy, assess the impact of business tactics ... Must Have: * 2+ years of relevant experience in analytics engineering, data engineering, or related ...

Data Analyst

Toronto, ON · Hybrid

CA$75K - CA$100K/yr

... analytics processes * Collaborate with data engineers and other analysts to support data modeling and reporting layers Communicate insights clearly through visualizations, summaries, and ...

Working closely with business partners, data engineers, and analytics teams, you will leverage data to uncover opportunities, solve business challenges, and deliver actionable recommendations that ...

Data Analyst

Mississauga, ON

CA$94K - CA$136K/yr

This role sits at the intersection of data engineering, analytics, and AI enablement. The ideal candidate brings a strong command of data management and analytics, hands-on AI fluency, and a ...

Data Analyst

Brampton, ON

CA$94K - CA$136K/yr

This role sits at the intersection of data engineering, analytics, and AI enablement. The ideal candidate brings a strong command of data management and analytics, hands-on AI fluency, and a ...

Data Analyst

Toronto, ON · On-site

CA$55K - CA$95K/yr

Work closely with data engineers to validate ETL/transformation rules. * Stakeholder Collaboration ... Excellent analytical and problem-solving abilities in ambiguous environments. * Strong ...

Data Analyst

Toronto, ON

CA$94K - CA$136K/yr

This role sits at the intersection of data engineering, analytics, and AI enablement. The ideal candidate brings a strong command of data management and analytics, hands-on AI fluency, and a ...

Data Analyst

Maple, ON

CA$94K - CA$136K/yr

This role sits at the intersection of data engineering, analytics, and AI enablement. The ideal candidate brings a strong command of data management and analytics, hands-on AI fluency, and a ...

... Engineering /Operations Research or a quantitative field Must Haves Curiosity and attention to detail 2-3 years of experience in data analytics or data science, ideally in a media or marketing ...

Data Analyst

Unionville, ON

CA$94K - CA$136K/yr

This role sits at the intersection of data engineering, analytics, and AI enablement. The ideal candidate brings a strong command of data management and analytics, hands-on AI fluency, and a ...

Bachelor's degree in Statistics, Maths, Engineering, Economics, or another quantitative field * 4-5+ years in similar analytical roles * Proficient in SQL and experience with complex data queries

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Showing results 1-20

Analytics Engineer Data Analyst information

What is the difference between Analytics Engineer Data Analyst vs Data Scientist?

AspectAnalytics Engineer Data AnalystData Scientist
CredentialsBachelor's in Data, Analytics, or related fields; certifications like SQL, Excel, TableauBachelor's or higher in Data Science, Statistics, or Computer Science; often includes Python, R certifications
Work EnvironmentBusiness teams, data warehouses, reporting toolsResearch, modeling, advanced analytics, machine learning environments
Employer & Industry UsageFinance, marketing, retail, tech companies focusing on data reportingTech, healthcare, finance, research institutions focusing on predictive modeling

While both roles work with data, Analytics Engineers Data Analysts focus on data collection, cleaning, and reporting to support business decisions. Data Scientists develop models and algorithms for predictive insights. The roles complement each other but differ in technical depth and focus areas.

What do analytics engineer data analysts do?

Analytics engineer data analysts collect, process, and analyze data to help organizations make informed decisions. They often work with tools like SQL, Python, or data visualization software and focus on building reliable data pipelines and reports. Their role combines technical skills with business understanding to deliver actionable insights.

What cities near Toronto, ON are hiring for Analytics Engineer Data Analyst jobs?

Cities near Toronto, ON with the most Analytics Engineer Data Analyst job openings:

Infographic showing various Analytics Engineer Data Analyst job openings in Toronto, ON as of June 2026, with employment types broken down into 72% Full Time, 6% Part Time, 2% Temporary, and 20% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution.

2027 Wealth Management, Winter Data Analyst (4-16 months)

Toronto, ON

Rbc
Banking and Credit Intermediation • 10K+ employees

Full-time

Posted 16 days ago


Job description

Job Description

RBC Wealth Management is a part of Royal Bank of Canada ("RBC"), one of the largest providers of financial services in the world.RBC Wealth Management Canada is comprised of six complementary lines of business which are supported by over 250 wealth professionals through our RBC Family Office Services team. Together, we provide our clients an unmatched experience.

Your application will be reviewed for consideration across multiple roles within the following areas:

RBC Dominion Securities

RBC PH&N Investment Counsel

RBC Royal Trust

RBC Private Banking

RBC Wealth Management Financial Services

RBC Global Asset Management

What is the opportunity?

We are seeking winter co-ops across several Data Analyst roles (including but not limited to the following: Data Analysts, Analytics Engineer, Data Team Co-Op, Data Engineer, Advisor Sales Analyst) to join the RBC Wealth Management Team. If you are passionate to learn about data engineering and data products delivery practices, please read on.

What will you do?

  • Assist in the development and delivery of data product solutions including building, customizing, and management of data pipelines, data integration tools, databases, data warehouses, and analytical systems.
  • Lead "data hygiene" effort in on our CRM system to ensure accurate quality data.
  • Develop and maintain data pipelines for extracting, transforming, and loading data across SQL Server, SAS, and Snowflake.
  • Write efficient SQL queries and Python scripts to automate workflows and ensure data quality.
  • Use in-house applications to process trades and monitor settlement workflows. Leverage tools such as Eagle, Charles River, Bloomberg, and Excel for data analysis and reporting.
  • Support testing requirements for data products and services including testing automation.
  • Support the development and execution of strategic initiatives in collaboration with internal and external stakeholders using our software development life cycle (SDLC)
  • Design, develop, implement, and support our emerging big data analytics capabilities through the development and maintenance of advanced data ingestion, processing, modeling and reporting capabilities.
  • Process security, product and employee set up on Eagle system.
  • Collaborate with engineers, analysts, and AI practitioners to prepare high-quality data for advanced analytics and business use cases.
  • Review data quality monitors daily and address data quality issues with data stakeholders.
  • Analyze data and data workflows to improve data quality.
  • Work with cloud platforms (AWS, Azure, GCP) to deploy and manage data infrastructure.

What do you need to succeed?

Must have:

  • Have a strong quantitative background, a degree in math/statistics/computer science/engineering would be a plus
  • Experience working with SQL and large data sets and knowledge of AWS, cloud computing, or similar storage solutions
  • Manipulate, organize and retrieve data using formulas and logic functions (particularly vlookups).
  • Familiar with Kubernetes, Docker and containerization technologies and strong Unix/Linux/Bash scripting skills
  • Experience working with DevOps CI/CD pipelines and automated testing.
  • Experience working within professional software engineering practices for the full software development life cycle, including coding standards, code reviews, source code management, build processes and testing.
  • Desire to learn data capabilities such as data management, data governance, data mastering, data quality, data literacy, etc.
  • Curiosity and willingness to learn about AI/ML and how data engineering supports it.
  • Desire to learn data business intelligence tools (e.g. Excel, Tableau)

Nice to have:

  • Exposure to Snowflake or cloud data platforms.
  • Basic understanding of AI/ML workflows (e.g., data preparation, model input/output).
  • Must be a self-starter, with strong analytical and problem-solving skills
  • Ability to work in teams and collaborate effectively with people in different functional areas
  • Excellent interpersonal and highly developed communication skills (verbal and written)

Please note:

Tobe eligible for these student positions, you must either:

  • Bereturningto school after the work term end-date; or
  • If you are not returning to school (i.e.are graduating immediately after the work term), you must require the full work term as a mandatory component to graduate successfully

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.

  • Leaders who support your development through coaching and managing opportunities
  • Ability to make a difference and lasting impact
  • Work in a dynamic, collaborative, progressive, and high-performing team
  • A world-class training program in financial service

Job Skills

Communication, Computer Literacy, Detail-Oriented, Interpersonal Relationships, Listening Effectively, Personal Development, Personal Initiative

Additional Job Details

Address:

RBC CENTRE, 155 WELLINGTON ST W:TORONTO

City:

Toronto

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

WEALTH MANAGEMENT

Job Type:

Student/Coop (Fixed Term)

Pay Type:

Salaried

Posted Date:

2026-08-24

Application Deadline:

2026-09-21

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.

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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.