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Python Data Analysis Jobs in Ontario (NOW HIRING)

Role Data Scientists bridge the gap between raw data and predictive modelling. We believe ... Programming in Python (or a comparable language) and working knowledge of SQL. * Strong analytical ...

Programming skills using analytical tools such as SQL, R, Python, Base SAS, SAS EG, is required. * Proficient in data visualization tools, such as Tableau preferred. Other Prerequisites * Ability to ...

New

... R, Python . Experience with SAP and IBM DataStage is also extremely beneficial ... Conduct data analysis to identify trends, patterns, and insights, and provide recommendations to ...

... R, Python . Experience with SAP and IBM DataStage is also extremely beneficial ... Conduct data analysis to identify trends, patterns, and insights, and provide recommendations to ...

Senior Data Analyst

Toronto, ON · Hybrid

CA$105K - CA$115K/yr

Proficiency in Python, R, or similar language for data analysis and automation * Advanced experience with Business Intelligence and visualization tools (e.g., Looker, Tableau, Power BI) * Strong ...

... Python for analysis in a professional setting - Experience building and maintaining data pipelines, warehouses, and infrastructure - Strong communication skills to convey technical insights to both ...

Analyze large datasets to identify trends, operational efficiencies, and process improvement ... Develop Python scripts to automate data extraction, processing, and reporting workflows. * Build ...

Analyze large datasets to identify trends, operational efficiencies, and process improvement ... Develop Python scripts to automate data extraction, processing, and reporting workflows. * Build ...

This is a hands-on role focusing on production-grade ML, real-time and streaming analytics, and AI ... Strong experience in Python, including libraries such as Pandas, NumPy, Scikit-learn, PyTorch ...

You will be responsible for the entire analytical lifecycle-from understanding business ... Hands-on experience with Python data science ecosystem (e.g., Pandas, NumPy, Scikit-learn ...

This is a hands-on role focusing on production-grade ML, real-time and streaming analytics, and AI ... Strong experience in Python, including libraries such as Pandas, NumPy, Scikit-learn, PyTorch ...

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Python Data Analysis information

What is a Python Data Analysis job?

A Python Data Analysis job involves using Python programming to collect, clean, analyze, and visualize data for insights and decision-making. Professionals in this role use libraries like Pandas, NumPy, and Matplotlib to manipulate datasets and perform statistical analysis. They may work in various industries, solving business problems, identifying trends, and supporting data-driven strategies. Strong programming skills, data wrangling expertise, and knowledge of analytical techniques are essential for success in this field.

What are the key skills and qualifications needed to thrive in the Python Data Analysis position, and why are they important?

To thrive in a Python Data Analysis role, you need strong proficiency in Python programming, statistical analysis, and data wrangling, often backed by a degree in computer science, mathematics, or a related field. Familiarity with tools such as Pandas, NumPy, Jupyter Notebook, and visualization libraries like Matplotlib or Seaborn, along with potential certifications in data analysis or Python, is highly valuable. Analytical thinking, attention to detail, and effective communication help translate complex data findings into actionable insights for stakeholders. These capabilities are crucial for transforming raw data into meaningful information that supports business decision-making.

What are the typical responsibilities of someone working in Python Data Analysis?

Professionals in Python Data Analysis are usually responsible for collecting, cleaning, and analyzing datasets to uncover trends and inform business strategies. Their daily tasks often include writing Python scripts, visualizing data, conducting statistical analyses, and preparing reports that summarize their findings for both technical and non-technical audiences. Collaboration with data engineers, business analysts, and project managers is common, ensuring that data solutions align with organizational goals. This role offers opportunities to build expertise in specialized areas, such as machine learning or business intelligence, and can lead to career advancement in data science or analytics leadership positions.
What are popular job titles related to Python Data Analysis jobs in Ontario? For Python Data Analysis jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Python Data Analysis jobs in Ontario look for? The top searched job categories for Python Data Analysis jobs in Ontario are:
Infographic showing various Python Data Analysis job openings in Ontario as of May 2026, with employment types broken down into 1% Internship, 1% As Needed, 85% Full Time, 8% Part Time, 1% Temporary, and 4% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution.
Senior Data & Reporting/Business Analyst - GFT

Senior Data & Reporting/Business Analyst - GFT

Royal Bank of Canada

Toronto, ON

Full-time

Posted 21 days ago


Job description

Job Description

What is the Opportunity?

The global functions technology group supports Finance and Risk Business partners by using our extraordinarily rich data set that spans multiple versions and geographies globally and captures detailed datasets. Our focus lies on building creative solutions that have an immediate impact on the business of our highly analytical partners. We work in complementary teams comprising members from Data Engineering and various groups at the Bank. To support our rapidly growing group we are looking for Senior Data Analyst/Engineer who are equally passionate about the opportunity to use rich data to tackle meaningful business problems. The candidate will apply extensive, in-depth knowledge, skills, and practices to perform complex assignments to bridge the gap between business and technology by delivering critical insights and analysis to shape strategy, evolve data connectivity, and provide insights into data transformation.

What will you do?

  • Utilize Hive/SQL/ Python to perform daily data analysis and advanced data mining and analytics on large transactional datasets

  • Work closely with Program sponsors, SMEs in various business areas, technology teams to finalize functional business requirements and support implementation activities

  • Make recommendations and build use cases on new sources of value by addressing the biggest gaps in our data sources in relation to completeness

  • Find opportunities to create and automate repeatable analyses or build self-service tools for business users

  • Research industry metrics and business context and bring this context to bear in analyses

  • Oversee processes such as data gathering, transformation, reporting, and advanced analytics to ensure the integrity and reliability of large datasets.

  • Drive the highest standards of quality, rigor, and thought leadership across the entire data lifecycle.

What do you need to Succeed?

Must have:

  • Solid understanding of Finance business processes such as Balance Sheet Reporting, Profit and Loss Reporting, Capital Reserve Reporting, Capital Markets products and processes, and Regulatory Reporting

  • Minimum of 5+ years of analytical experience in applying solutions to business problems in relevant fields such as analytics, business requirements, consulting, or other data-driven functions

  • Demonstrated Experienced in quantitative, qualitative, analytical, problem solving, and critical thinking skills.

  • Exceptional storytelling skills, with a track record of translating complex data into compelling business insights. Ability to communicate findings derived from complex analytics to Senior Leadership, both verbally and visually.

  • Experienced in databases, data engineering, ETL, ELT concepts with utilizing querying, automation, and big data technologies (e.g. Python, SQL, Spark, Teradata, Hadoop, Snowflake, Databricks) to produce repeatable insights

  • Proficiency with creating compelling presentations

Nice-to-have:

  • Data Engineering / Data Science certification and/or completion of Business Analysis training courses.
  • Copilot , Git hub , Python knowledge

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
  • Opportunities to do challenging work.

#LI-POST

Job Skills

Analytics, Business Analytics, Business Case Design, Critical Thinking, Data Administration, Data Mining, Data Modeling, Data Movement, Detailed Design, Detail-Oriented, Detail Oriented Tasks, Group Problem Solving, Problem Solving, Quantitative Research, Research Documents

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:

TECHNOLOGY AND OPERATIONS

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2026-05-07

Application Deadline:

2026-06-19

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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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