Data Analyst - Test & Learn

Role Overview

Workplace

• This is a remote opportunity.

Key Accountabilities

• Partner with business stakeholders on key questions and deliver test solutions and strategies that drive business results.
• Provide actionable test results in clear and applicable formats for technical and non-technical partners.
• Conduct ad hoc analyses to identify test opportunities and goals.
• Advise on test design best practices during planning meetings while adapting to business needs.
• Manage and prioritize multiple projects based on business and customer impact.
• Liaise between the Test & Learn vendor and internal IT on data feeds, maintenance, and validation.
• Share learnings across Analytics, align methodologies, and leverage best practices.
• Coordinate with senior leadership to understand performance, recommend changes, and make tactical tradeoffs.

Required Experience

• At least three years of analytics experience with progressive responsibility leading, executing, and presenting data-driven projects.
• Proficiency with Mastercard’s Test & Learn tool, previously APT, for test analysis, optimization, and decision-making.
• Familiarity with A/B testing processes.
• Foundation in statistical modeling, including segmentation, linear regression, and hypothesis testing.
• Fluency with complex SQL queries and dataset transformations on large datasets.
• Bachelor’s degree in applied Statistics, Economics, Finance, Engineering, Market Analysis, or a related field, or relevant experience.

Core Skills

• Ability to identify business needs, perform in-depth analysis, and derive actionable insights.
• Exceptional written and oral communication skills for presenting complex findings to senior management and other stakeholders.
• Strong communication and collaboration across business, analytics, and engineering teams.
• Ability to deliver complex analytics projects involving methodology development, analysis, strategic recommendations, and presentation.
• Ability to scrutinize and communicate limitations in analyses when data is imperfect.

Team Context

Compensation

• The stated salary range is $70,200 to $146,300 annually.