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Senior Data Analyst Developer Jobs in Toronto, ON

Morson Talent

25-010 Senior Data Developer

Pickering, ON · Remote

$80 - $95/hr

Senior Data Developer Level: MP5 Hourly Rate: $80 - $95/hour Duration: 10 Months Hours of work: 35 ... Support Business Intelligence Analysts in modelling data for visualization and reporting, using ...

Manulife

Senior Data Scientist

Toronto, ON · Hybrid

As a Senior Data Scientist supporting our Canadian AI team, you will play a key leadership role in ... Advanced programming capability in Python, R, or similar analytical programming languages; strong ...

Talent To Hire Inc.

Senior Data Engineer

Toronto, ON · On-site

CA$110K - CA$145K/yr

SENIOR DATA ENGINEER- Toronto ( 3 days downtown/Hybrid) Our client is interviewing to onboard a ... Collaborate with analysts and business teams to translate needs into technical solutions.

CIBC US

Senior Analyst, Data & Reporting

Toronto, ON · Hybrid

The Senior Analyst, Data and Reporting applies advanced concepts to utilize various advanced ... Proficiency with data engineering tools such as DataBricks, SAS, SQL, Python and business ...

CIBC

Senior Analyst, Data & Reporting

Toronto, ON · Hybrid

The Senior Analyst, Data and Reporting applies advanced concepts to utilize various advanced ... Proficiency with data engineering tools such as DataBricks, SAS, SQL, Python and business ...

Konrad

Data Analyst

Toronto, ON · Hybrid

CA$75K - CA$100K/yr

You will work closely with senior analysts, data scientists, engineers, product managers, designers, and business stakeholders across a variety of client engagements. With guidance and mentorship ...

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Senior Data Analyst Developer information

What does a senior data analyst developer do?

A Senior Data Analyst Developer is responsible for analyzing complex data sets, designing and developing data models, and creating reports or dashboards to help organizations make data-driven decisions. They often work closely with stakeholders to understand business needs, translate requirements into technical solutions, and optimize data workflows. Additionally, they may mentor junior analysts, ensure data quality, and utilize advanced programming or scripting skills to automate data processes.

What are the key skills and qualifications needed to thrive as a senior data analyst developer?

To thrive as a Senior Data Analyst Developer, you need advanced skills in data analysis, programming (such as Python or SQL), and a strong background in statistics or computer science, often supported by a relevant degree. Experience with business intelligence tools (like Tableau or Power BI), data warehousing systems, and possibly certifications in data analytics or cloud platforms is highly valued. Strong problem-solving skills, attention to detail, and effective communication make candidates stand out in this role. These skills and qualities are vital to accurately interpret complex data, derive actionable insights, and effectively communicate findings to stakeholders, driving better business decisions.

How does a senior data analyst developer typically collaborate with cross-functional teams?

As a Senior Data Analyst Developer, you'll frequently work alongside data engineers, business analysts, product managers, and stakeholders from non-technical departments. Collaboration often involves translating business requirements into analytical solutions, sharing insights through dashboards or reports, and providing technical guidance to less experienced team members. Effective communication and a proactive approach to gathering requirements and sharing feedback are key to ensuring that data-driven solutions align with organizational goals. You may also participate in code reviews, data architecture discussions, and project planning sessions to ensure seamless integration of analytics across the company.

What is the difference between Senior Data Analyst Developer vs Data Engineer?

AspectSenior Data Analyst DeveloperData Engineer
CredentialsBachelor's or Master's in Data Science, Computer Science, or related fields; often certifications in SQL, Python, or data analysis toolsBachelor's or Master's in Computer Science, Software Engineering, or related fields; certifications in cloud platforms, SQL, or data pipeline tools
Work EnvironmentCollaborates with data analysts, business teams, and developers to analyze and develop data solutionsBuilds and maintains data infrastructure, pipelines, and architecture for data storage and processing
Industry UsageCommonly employed in finance, healthcare, and tech sectors for data analysis and reportingUsed across industries for designing scalable data systems and managing big data infrastructure

While both roles involve working with data, the Senior Data Analyst Developer focuses on analyzing data and developing data-driven applications, whereas Data Engineers primarily build and maintain the infrastructure that enables data analysis and storage.

What are popular job titles related to Senior Data Analyst Developer jobs in Toronto, ON?

For Senior Data Analyst Developer jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Senior Data Analyst Developer jobs in Toronto, ON look for?

The top searched job categories for Senior Data Analyst Developer jobs in Toronto, ON are:

What cities near Toronto, ON are hiring for Senior Data Analyst Developer jobs?

Cities near Toronto, ON with the most Senior Data Analyst Developer job openings:

Senior Data Analyst Developer jobs near you
Infographic showing various Senior Data Analyst Developer job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 6% Hybrid, and 10% Remote job distribution.

Sr. Data Analyst - Next Best Action - Delivery Optimization

Royal Bank of Canada

Toronto, ON • Hybrid

Full-time

Posted 11 days ago

Job description

Job Description

What is the opportunity?

We are seeking an experienced Senior Data Analyst & Python Developer to contribute and build upon the ecosystem with collaboration with our technology/business partners across the bank. This role offers the opportunity to collaborate across technology and business partners throughout the bank, exploring emerging technologies and contributing to high-impact projects and expand into different areas of interest or additional projects that align with your expertise.

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

What will you do?

  • Design & Deploy Python Solutions- Architect, build, and integrate Jupyter notes and various python applications into RBC ecosystems, ensuring scalability and alignment with business objectives.

  • Optimize Data Workflows- Develop, manage, and optimize data pipelines and supporting infrastructure; refine UI components to improve client targeting accuracy and user experience.

  • Establish Technical Standards- Create and maintain Python coding standards and Jupyter notebook environments; optimize code across Python, SAS, and SQL to ensure performance and maintainability.

  • Drive Innovation- Research emerging technologies and capabilities, recommend solutions that advance NBA functionality, and support deployment of infrastructure changes in production environments.

  • Enable Independence & Collaboration- Work effectively both autonomously and within cross-functional teams in an agile environment, leveraging advanced SQL and data analysis skills to support AI/automation workflows.

What do you need to succeed?

Must have

  • 2+ yearsof hands-on software engineering or development experience (Python, Java, Scala, or equivalent); demonstrated proficiency with Python, SQL, and data warehouse technologies.

  • 2+ yearsof SQL expertise and relational database management (MySQL, Postgres, SQL Server, Snowflake, or equivalent).

  • Advanced Problem-Solving- Strong analytical skills with the ability to adapt quickly to emerging technologies and simplify complex workflows.

  • Agile Collaboration- Ability to work independently and cross-functionally in agile environments with strong communication skills.

  • Technical Foundation- Bachelor's degree in Computer Science, Data Analytics, Software Engineering, Data Engineering, or equivalent professional experience.

  • Continuous Learning Mindset- Demonstrated curiosity and commitment to professional development and supporting colleagues.

  • Bachelor's degree or master's degree in computer science, data analytics, software engineering, data engineering, artificial Intelligence or equivalent experience in the field

Nice to Have:

  • AI Agent Development & Deployment- Experience in design, build, and implement AI agents that automate routine processes, reduce manual effort, and drive measurable improvements in operational efficiency and cycle time.

  • Software engineering best practices and user-centered design thinking.

  • Experience with alternative database technologies (NoSQL, graph databases, vector databases).

  • Proficiency with public cloud platforms (Azure, AWS, GCP, OpenShift) and multi-cloud/hybrid environments.

  • CI/CD pipeline and DevOps tools experience.

  • Mobile or web development background.

  • Financial services industry experience with knowledge of marketing, product management, sales, finance, and risk frameworks.

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.

  • We are proud to offer a comprehensive compensation program which includes a competitive salary, bonuses, flexible benefits.

  • Leaders who support your development through coaching and managing opportunities

  • We promise you'll work in an inclusive, collaborative, progressive, and high-performing team.

Job Skills

AI Agents, Amazon Web Services (AWS), Business Intelligence Tools, Data Analysis, Data ETL, Data Insights, Data Pipelines, GitHub, Jupyter Notebooks, Python (Programming Language), 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:

2026-08-06

Application Deadline:

2026-08-22

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.

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.

Employment Type: FULL_TIME

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