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Python Data Analysis Jobs in Ontario (NOW HIRING)

Work with data investigation, analysis, develop and maintain a strong knowledge of wealth ... Experience using Power BI, Python, Databricks is an asset * Experience with GCP is an asset

Building of GenAI and AI solutions, including but not limited to analytical model development and ... Proficient in programming using Python and SQL. * Master's degree or PhD degree in quantitative ...

Demonstrate expert proficiency in DBT, SQL, Alteryx, Snowflake, Power BI, Tableau, Python (for data analysis and scripting), Excel (including advanced functions and modeling), and PowerPoint. * Have ...

This role combines strong data analysis capabilities with core business analysis skills to ensure ... Strong analytical toolkit leveraging SQL, Python, and data querying tools to explore, transform ...

This role combines strong data analysis capabilities with core business analysis skills to ensure ... Strong analytical toolkit leveraging SQL, Python, and data querying tools to explore, transform ...

This role combines strong data analysis capabilities with core business analysis skills to ensure ... Strong analytical toolkit leveraging SQL, Python, and data querying tools to explore, transform ...

You work with key business and product leads, analysts and data scientists to understand the ... Python). Data visualization technologies (Tableau, Looker, Superset) a plus. * Hands-on experience ...

Proficient in data analysis within a cloud environment, including experience with open-source programming (e.g., Python), advanced SQL for large datasets (e.g. Snowflake), version control (e.g. Git ...

Data Analyst

Toronto, ON

CA$55K - CA$95K/yr

The ideal candidate will have a strong background in both data analysis and business processes ... Working knowledge and understanding of Python. * A strong analytical mindset and sophisticated ...

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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.
Manager, Data Analyst

Other

Posted 24 days ago


Job description

Requisition ID: 259823 
Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

The Manager, Data Analyst will work with Canadian Wealth Management Data Operations to provide data-driven solutions to various Wealth business applications data. This position involves maintaining data extraction, transformation processes, and reporting development to support regulatory, compliance and ongoing business operations.

Is this role right for you? In this role you will:

  • Work closely with the Canadian Wealth Management Operations team to support day-to-day reporting activities
  • Deliver the daily scheduled reports and support Adhoc reporting requirements with complete data analysis and provide the technical solution to meet the customer requirements
  • Work with data investigation, analysis, develop and maintain a strong knowledge of wealth management business workflow to deliver the expected solution
  • As a Senior Business Analyst Specialist who ensures re-engineering, you will work with the business to understand existing functionalities, and develop new solutions, and write scripts for analysis, testing and regression, understanding relationship database structure and how the data maps to various business application
  • Identify programming / analysis skill gaps and keep up with the new data analysis tools and programming software to consistently improve self and existing processes.
  • Be responsible for performing heavy data-driven analytics and reconciliations for complex calculation logic in various wealth application data which is highly statistical and computation intensive

Do you have the skills that will enable you to succeed in this role? - We'd love to work with you if you have:

  • A University degree in quantitative discipline (mathematics, science, computer science, or engineering)
  • A minimum of 5 years of industry and business analysis experience
  • An understanding in wealth business management
  • Data Knowledge in wealth or financial related business
  • In-depth knowledge of relational database concepts
  • In-depth knowledge of Data analytics and Business intelligence
  • SQL, AS400, Microsoft Access, Microsoft VBA, or VB .Net, and Sybase
  • Experience using Power BI, Python, Databricks is an asset
  • Experience with GCP is an asset
  • Experience in AI is an asset
  • The ability to adapt to change quickly and adjust work accordingly in a positive manner
  • Excellent analytical and problem-solving skills, with a high level of attention to detail 

Location(s):  Canada : Ontario : Toronto 
Scotiabank is a leading bank in the Americas. Guided by our purpose: "for every future", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.  
At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our  Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.