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Financial Analyst Python Commission Jobs in Toronto, ON

BMO Capital Markets

Senior Analyst, Finance

Toronto, ON · On-site

CA$61K - CA$113K/yr

Finance & Accounting We are seeking a Senior Analyst, Finance to join a high-profile finance team ... For commission roles, the salary listed above represents BMO Financial Group's expected target for ...

Geotab

Sales Commission Analyst

Oakville, ON

Geotab is seeking a Sales Commission Analyst who will serve as the operational authority on ... Bachelor's degree in Business, Finance, Accounting, or a related field required. * Equivalent ...

Capital One

Manager, Financial Analysis

Toronto, ON · Hybrid

CA$130K - CA$148K/yr

161 Bay Street (93021), Canada, Toronto,Toronto, Ontario, Manager, Financial Analysis About Capital ... At least 3 years of experience using SQL, Python, or a combination Working at Capital One. You'll ...

Bmo

Senior Servicing Analyst

Toronto, ON

CA$45K - CA$84K/yr

Customer Shared Services BMO is hiring a Senior Servicing Analyst to join the Loan Servicing team ... For commission roles, the salary listed above represents BMO Financial Group's expected target for ...

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All JobsFinancial Analyst Python JobsFinancial Analyst Python Commission JobsFinancial Analyst Python Commission Jobs in Toronto, ON

Financial Analyst Python Commission information

What is the difference between Financial Analyst Python Commission vs Financial Analyst Excel Commission?

AspectFinancial Analyst Python CommissionFinancial Analyst Excel Commission
Required SkillsPython programming, data analysis, scriptingExcel, data manipulation, formulas
CertificationsPython certifications, CFA often preferredExcel certifications, CFA often preferred
Work EnvironmentData analysis, coding, automation tasksData reporting, spreadsheet analysis
Industry UsageFinance, investment firms, tech companiesBanking, corporate finance, investment firms

Both roles involve financial analysis but differ mainly in technical tools. The Python version emphasizes programming and automation, while the Excel version focuses on spreadsheet skills. Candidates should choose based on their technical strengths and job requirements.

Does a financial analyst use Python?

Yes, many financial analysts use Python for data analysis, modeling, and automation due to its powerful libraries like pandas and NumPy. Proficiency in Python can enhance efficiency and accuracy in financial tasks, making it a valuable skill in the field.

How much does a 2nd year financial analyst make?

A second-year financial analyst typically earns between $60,000 and $80,000 annually, depending on the industry, location, and company size. Advancing skills in Excel, financial modeling, and data analysis can influence salary growth at this stage.

What are the most commonly searched types of Financial Analyst Python jobs in Toronto, ON?

The most popular types of Financial Analyst Python jobs in Toronto, ON are:

Financial Analyst Python Commission jobs near you
Infographic showing various Financial Analyst Python Commission job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.

Data Analyst (Financial Planning and Analysis) - Canada

Tiger Analytics Inc.

Toronto, ON • On-site

Full-time

Re-posted 4 days ago

Job description

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Data Analytics, Data Engineering, Business Intelligence, Machine Learning and AI. Various market research firms, including Forrester and Gartner have recognized our business value and leadership.

We are seeking a highly motivated Data Analyst with strong data engineering and analytics experience to support business stakeholders in driving data-driven decision-making. The ideal candidate will possess strong expertise in SQL, Snowflake, Databricks, and Python, along with hands-on experience working with financial reconciliation data, including transaction, ledger, and procurement datasets

Job Duties:

  • Partner with business stakeholders to gather, analyze, and document data requirements.
  • Perform data profiling, data mapping, and data quality assessments across multiple source systems.
  • Develop complex SQL queries and data models to support reporting, reconciliation, and analytical initiatives.
  • Work with Snowflake and Databricks to design, transform, and manage large-scale datasets.
  • Build and maintain Python-based data processing and validation workflows.
  • Analyze financial reconciliation data, including transactions, general ledger, accounts payable, procurement, and related financial datasets.
  • Identify data discrepancies and support reconciliation processes through root cause analysis.
  • Collaborate with business, data engineering, and technology teams to ensure data accuracy and consistency.
  • Support data governance, metadata management, and documentation activities.

Requirements

  • 6+ years of experience in Data Analytics, Business Intelligence, or Data Engineering roles.
  • Strong hands-on experience with SQL, Snowflake, Databricks, and Python.
  • Experience in data mapping, data profiling, data validation, and data quality management.
  • Mandatory experience working with financial reconciliation data.
  • Strong understanding of transaction-level data, general ledger (GL), procurement, accounts payable/receivable, and financial reporting processes.
  • Experience supporting finance, accounting, or enterprise reconciliation initiatives is highly preferred.
  • Experience working in cloud-based data environments.
  • Exposure to data governance and master data management practices.
  • Familiarity with financial controls, audit, or reconciliation frameworks.

Benefits

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

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