Pricing Analyst

Visa; Toronto; On-site; CAD 80,000 - 100,000; Full time

Job summary

A global payments technology leader in Toronto is seeking a Data Engineer to optimize backend infrastructure and create AI-driven tools for decision-making. The ideal candidate should have 2+ years of experience in data engineering or data science, proficiency in Python and SQL, and familiarity with dashboarding tools. This hybrid role offers the opportunity to work closely with cross-functional teams and innovate in the payments industry.

Qualifications

• 2+ years of experience in data engineering or science.
• Strong coding skills in Python and SQL.
• Hands-on experience with large data sets.

Responsibilities

• Maintain and optimize backend infrastructure.
• Design dynamic dashboards and automated reporting systems.
• Create models for forecasting and anomaly detection.

Skills

Data engineering

Data science

Python

SQL

Power BI

Tableau

Machine Learning

GenAI

Education

Bachelor’s Degree

Advanced Degree (Masters, MBA, etc.)

Tools

Hive

Spark

Airflow

Job description

Company Description

Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid.

Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.

Job Description

About the Team

Visa’s Global Interchange Data team is on a mission to transform how data powers decision-making across the Interchange organization. We build scalable infrastructure, intelligent data products, and AI-driven tools that streamline reporting, enhance accessibility, and unlock productivity.

What You’ll Do

Engineer Scalable Data Systems: Maintain and optimize backend infrastructure, build datamarts, and implement modular pipelines using tools such as Hive, Spark, Airflow.

Automate Insight Delivery: Design dynamic dashboards and automated reporting systems tailored to user roles, delivering timely insights.

Apply AI & ML: Create models for forecasting and anomaly detection. Build GenAI tools and chatbots to automate routine tasks.

Champion Governance: Standardize data fields, implement retention strategies, and ensure compliance with classification protocols.

Collaborate & Innovate: Work cross-functionally with Tech, Data Science, and Interchange teams to deliver impactful solutions.

This is a hybrid position. Expectation of days in office will be confirmed by your Hiring Manager.

Qualifications

Basic Qualifications

• 2 or more years of work experience with a Bachelor’s Degree or an Advanced Degree (e.g. Masters, MBA, JD, MD, or PhD)

Preferred Qualifications

• 3 or more years of work experience with a Bachelor’s Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD)
• 2+ years in data engineering or data science
• Relevant university degree in data science, statistics, mathematics, software engineering or related disciplines
• Hands-on experience working with large data sets
• Strong coding skills in Python, SQL
• Proficiency in Power BI / Tableau for dashboarding and reporting
• Experience in developing ML models and working with GenAI
• Curious and forward-thinking, embraces new tools to solve business problems

Additional Information

Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

Visa welcomes and encourages applications from persons with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process.