Partner with business stakeholders on key business questions, delivering creative test solutions and strategies to drive real business results. Provide actionable test results in a clear, interpretable, and applicable way that can be shared widely, communicating effectively with both technical and non-technical partners. Conduct ad-hoc analyses to identify test opportunities and goals. Participate in test planning meetings, offering counsel and recommendations on best practices for test design while also adjusting for business needs. Manage and prioritize multiple projects simultaneously based on what is most impactful to the business and our customers Act as liaison between Test & Learn vendor and internal IT identifying relevant store/customer attributes and metrics to set up as data feeds and assisting internal IT with data maintenance and validation. Partner across Analytics to share learnings, align on methodologies and leverage best practices. 3+ years of experience in analytics, with progressive responsibility in leading, executing, and presenting data-driven projects to cross-functional teams. Proficiency in Mastercard's Test & Learn tool (Previously APT), with deep hands-on experience in utilizing it for test analysis, optimization, and decision-making processes. Familiarity with A/B testing process to improve business outcomes. Demonstrated ability to identify business needs, provide in-depth analysis, and derive actionable insights that address underlying issues and drive business performance. Foundation in statistical modeling, including segmentation, linear regression, and hypothesis testing. Exceptional communication skills—both written and oral—suitable for presenting complex findings to all levels of the organization, with a particular emphasis on delivering insights to senior management and stakeholders. Fluent with complex SQL queries and dataset transformations on large datasets. Strong communication and collaboration skills; act as a bridge among business, analytics and engineering teams. Proven ability of delivering highly complex analytics projects involving methodology development, analysis, strategic recommendations, and presentation of the findings. Confidence to scrutinize and share the limitations of our analyses when the data isn't perfect. Bachelor's degree in applied Statistics, Economics, Finance, Engineering, Market Analysis, or related fields; or relevant experience Please note that you do not need to qualify for all requirements to be considered. We encourage you to apply if you can meet most of the requirements and are comfortable opening a dialog to be considered. Ability to sit and work at a computer keyboard for extended periods of time Ability to stoop, kneel, bend at the waist, and reach daily