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Data Analyst Github Jobs in Ontario (NOW HIRING)

Turo

Senior Data Analyst, Business Intelligence

London, ON · Hybrid

CA$114K - CA$143K/yr

Turo is looking for a Senior Data Analyst to join our Business Intelligence team. You will be the ... in GitHub. * Foster a Data Community: You aren't just building in a vacuum. You'll lead user ...

Turo

Senior Data Analyst, Business Intelligence

Toronto, ON · Hybrid

CA$114K - CA$143K/yr

Turo is looking for a Senior Data Analyst to join our Business Intelligence team. You will be the ... in GitHub. * Foster a Data Community: You aren't just building in a vacuum. You'll lead user ...

Fitch Solutions

Principal Data Engineer

Toronto, ON

... analytics. With dual headquarters in London and New York, Fitch Group is owned by Hearst. Fitch ... Design and implement CI/CD pipelines using GitHub Actions, establish branching strategies, and ...

Td

Data Scientist II

Toronto, ON · On-site

CA$81K - CA$115K/yr

Analytics, Insights, & Artificial Intelligence Pay Details: $81,600 - $115,200 CAD TD is committed ... Proficiency with version control - using Github and Visual Studio Code * Data Visualization:

Td

Data Scientist II

Toronto, ON · On-site

CA$81K - CA$115K/yr

Analytics, Insights, & Artificial Intelligence Pay Details: $81,600 - $115,200 CAD TD is committed ... Proficiency with version control - using Github and Visual Studio Code * Data Visualization:

Scotiabank

Data Engineer

Toronto, ON · On-site

Troubleshoot production issues, perform root cause analysis, and continuously improve pipeline ... Hands-on experience with GitHub for source control, branching, pull requests, code reviews, and ...

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All JobsData Analyst Github JobsData Analyst Github Jobs in Ontario

Data Analyst Github information

What is a data analyst at GitHub?

Data Analysts on GitHub are professionals or contributors who use the platform to share, collaborate, and manage data analysis projects. They leverage GitHub to store datasets, share scripts and code (often in languages like Python or R), and document their analyses using tools like Jupyter Notebooks or Markdown. GitHub enables Data Analysts to version-control their work, collaborate with others through pull requests and issues, and showcase their portfolios to potential employers or collaborators.

How does a data analyst at GitHub typically collaborate with engineering and product teams?

At GitHub, Data Analysts frequently work alongside engineering and product teams to translate business questions into actionable data insights. They participate in cross-functional meetings, help define key metrics, and build dashboards or reports tailored to the needs of different stakeholders. Effective collaboration requires strong communication skills, as analysts must explain complex data findings to both technical and non-technical colleagues. This collaborative environment fosters continual learning and often provides opportunities to contribute to strategic decisions that impact the direction of products and features.

What are the key skills and qualifications needed to thrive as a data analyst at GitHub, and why are they important?

To thrive as a Data Analyst on GitHub, you need strong analytical skills, experience in statistics, and proficiency in data manipulation using languages like Python or SQL, often backed by a relevant degree. Familiarity with data visualization tools (e.g., Tableau, Power BI), Git version control, and GitHub workflows is essential, and certifications in data analysis or related fields are advantageous. Attention to detail, problem-solving, and effective communication are vital soft skills for collaborating on open-source projects and sharing insights. These competencies enable accurate data-driven decision-making, efficient project collaboration, and impactful contributions to the GitHub community.

What is the difference between Data Analyst Github vs Data Scientist?

AspectData Analyst GithubData Scientist
Required CredentialsBachelor's in Data Analytics, Statistics, or related field; proficiency in SQL, Excel, and visualization toolsBachelor's or Master's in Data Science, Computer Science, or related; knowledge of programming languages like Python or R, machine learning
Work EnvironmentCollaborates with teams to analyze data, create dashboards, and support decision-makingBuilds models, develops algorithms, and performs advanced statistical analysis
Employer & Industry UsageUsed across industries for reporting, data visualization, and business insightsApplied in AI, predictive modeling, and complex data analysis projects

While both roles involve working with data, Data Analyst Github focuses on data visualization, reporting, and supporting business decisions, often using tools like SQL and Excel. Data Scientists perform advanced analytics, build predictive models, and require programming skills in Python or R. The roles overlap in data handling but differ in complexity and technical depth.

What are popular job titles related to Data Analyst Github jobs in Ontario?

For Data Analyst Github jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Data Analyst Github jobs in Ontario look for?

The top searched job categories for Data Analyst Github jobs in Ontario are:

What cities in Ontario are hiring for Data Analyst Github jobs?

Cities in Ontario with the most Data Analyst Github job openings:

Data Analyst Github jobs near you
Infographic showing various Data Analyst Github job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Data Engineer & Analyst - Climate Risk & Data Strategy

Royal Bank of Canada

Toronto, ON • On-site

Full-time

Posted 15 days ago

Key responsibilities

  • Lead all Data and Systems analysis activities for the Climate Data Risk & Strategy projects portfolio

  • Design and implement pipelines for data extraction, transformation, and storage to support regulatory and governance needs

  • Collaborate with business users to elicit data requirements and demonstrate system functionality

Job description

Job Description

What is The Opportunity?

Join our Retail Credit technology team to drive the modernization of enterprise risk systems and climate data initiatives. You'll lead business and data analysis for our Climate Data Strategy and Innovation Technology portfolio-a strategic initiative to source data from multiple data sources - internal and external to RBC, build a robust storage framework, and enable advanced data modeling across the organization.

This role bridges business requirements and technology delivery, ensuring climate risk and data strategy projects translate complex requirements into actionable solutions for development and QA teams.

What Will You Do?

  • Lead all Data and Systems analysis activities for the Climate Data Risk & Strategy projects portfolio
  • Develop detailed knowledge of current-state data feeds for Climate Risk Data Stores and Climate Data Hub, working across PCAF Asset Classes (Residential Real Estate, Commercial Real Estate, Sovereign Debt, Project Finance, Listed Equity, Corporate Bonds, Business Loans, and Unlisted Equities)
  • Design and implementpipelines for data extraction, transformation, and storage while ensuring data consistency, lineage, andmetadata managementto support regulatory and governance needs.
  • Determine and map data transformation rules to standardize feeds from multiple sources into Climate Risk engines and Data Stores
  • Collaborate with business users to elicit data requirements and demonstrate system functionality
  • Create functional, non-functional and data specifications and conduct complex data analysis using AI/LLM models
  • Partner with development and QA teams to validate design assumptions, explain requirements, and create test cases and support UAT
  • Work with ESG & Risk Analytics teams to build data assets, models and calculation engines to produce Risk Metrics used in RBC Climate Risk Disclosures and to track RBC's exposure to Physical Risk

What You Need to Succeed?

Must Have:

  • 5+ years as a Data Engineer or Analyst, or in a technical/functional/consulting role in software development
  • Strong proficiency in Python (Pandas), 'pySpark' and SQL for complex data analysis
  • Ability with data catalogues, data modeling, and business process modeling and experience working on data projects using Agile methodologies (sourcing, standardization, and aggregation)
  • Excellent written and verbal communication skills; ability to document requirements, write specifications, and present findings to business and technical stakeholders
  • Bachelor's degree in Engineering, Sciences, Technology, Computer Science, Math, Statistics, or related quantitative field

Nice to Have:

  • Knowledge of climate data initiatives and ESG investment policies/frameworks for financial institutions
  • Experience supporting developers with technology stacks such as Linux, Hadoop, Hive, and Spark
  • Exposure to using AI/LLM models embedded in tools such as Windsurf and Github Co-Pilot - AI-powered agentic coding assistants for analytical purposes
  • Experience with data in the finance, banking, or insurance industries

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.

  • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable

  • 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 services

  • Flexible work/life balance options

  • Opportunities to do challenging work

#LI-POST

Job Skills

Business Appraisals, Business Process Modeling, Commercial Acumen, Communication, Critical Thinking, Group Problem Solving, Interpersonal Relationship Management, Requirements Analysis, Resource Management, Team Management

Additional Job Details

Address:

120 WESTERN PKY:BEDFORD

City:

Bedford

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

TECHNOLOGY AND OPERATIONS

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2026-08-20

Application Deadline:

2026-09-26

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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