Data Analytics Consultant - Remote

Overview

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.

In Short

• Join Visa Consulting and Analytics (VCA) to drive impactful results for clients.
• Perform transactional analysis to enhance client product positioning.
• Identify trends and opportunities in client data.
• Utilize predictive techniques to improve profitability.
• Design and support testing approaches for market strategies.
• Collaborate with Visa Data Science Lab for analytical solutions.
• Provide thought leadership in data science techniques.
• Work in a hybrid role, alternating between remote and office work.
• Leverage strong consultative and analytical skills.
• Engage with clients to deliver data-driven insights.

Requirements

• Experience in data science or analytical roles.
• Project leadership in delivering data-driven insights.
• Background in payment, retail banking, or retail merchant industries.
• Strong communication and ownership for delivery.
• Ability to tailor presentations for various audiences.
• Results-oriented with strong analytical skills.
• Awareness of profitability drivers and calculations.
• Excellent storytelling skills with data analysis.
• Proficiency in SQL and Python or SAS.
• Knowledge of Agile delivery methods.

Benefits

• Work with leading clients in the payments industry.
• Opportunity for professional growth and development.
• Engage in innovative data analytics projects.
• Collaborate with a diverse team of experts.
• Flexible working arrangements in a hybrid model.