Pricing Analyst

Visa Inc.; Toronto; Hybrid; CAD 75,000 - 100,000; Full time

Job summary

A global payment technology company is seeking a Data Engineer to enhance data-driven decision-making. This hybrid role involves optimizing backend systems, designing automated reporting solutions, and applying AI for innovative applications. The ideal candidate will have a degree in a related field and relevant experience in data engineering, Python, SQL, and dashboarding tools.

Qualifications

• 2 or more years of work experience.
• Relevant degree in data science, statistics, mathematics, or software engineering.

Responsibilities

• Maintain and optimize backend infrastructure for scalable data systems.
• Design dashboards and automate reporting systems.
• Create models for forecasting and anomaly detection.

Skills

Data engineering

Proficiency in Python

SQL expertise

Experience with Power BI/Tableau

Machine Learning model development

Education

Bachelor's Degree

Tools

Hive

Spark

Airflow

Job description

Overview

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.

Responsibilities

• 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

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.