Data Science Analyst

Designs, develops, and programs methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for client services and product enhancement.

Interacts with product and service teams to identify questions and issues for data analysis and experiments. Supports the development of algorithms and automated processes to cleanse, integrate, and evaluate large datasets from multiple sources.

Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers., * Design, develop, and implement methods, processes, and systems for consolidating and analyzing large, diverse datasets.

• Collaborate with product and service teams to identify key questions and issues for data analysis and experimentation.
• Code algorithms and automated processes to cleanse, integrate, and evaluate data from multiple sources.
• Generate actionable insights and solutions for client services and product enhancement.
• Interpret and communicate findings from data analysis and experiments to product, service, and business managers.

Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager.

This role is suited to someone early in their professional journey who is looking to build foundational experience in data analysis, problem-solving, and cross-functional collaboration.

All roles require digital fluency, including the ability to work with emerging technologies such as Generative AI tools (e.g. ChatGPT, Microsoft Copilot) to support everyday work., What you will bring:

• Experience in consolidating and analyzing large, unstructured datasets.
• Experience in coding algorithms and automated data processes.
• Ability to work collaboratively in cross-functional environments
• Strong problem-solving and analytical thinking skills
• Clear communication skills, with the ability to explain insights to non-technical audiences
• Fluency in French and English

Nice to have:

• Experience in payment card or information security industry, or all-source cyber intelligence organizations.
• Experience with Python for data analysis and machine learning tasks.
• Experience with Spark for big data processing and analytics.
• Strong skills in writing and optimizing SQL queries for data manipulation and analysis.

Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.

At Visa, you’ll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world.

Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you.