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High — Tier-1 brand, metro location, generalist analytics title, and broad BI/ML tool requirements.
Medium — core analytics skills transfer across industries but pre-sales/payments context adds domain specificity.
Medium — requires SQL, BI, Python and ML skills without explicit years, so moderate technical filtering.
Develop and maintain AI-driven value quantification tools for Mastercard’s pre-sales teams to effectively communicate service values to customers.
Manage and analyze large datasets using SQL and perform statistical analysis to generate actionable business insights.
Collaborate cross-functionally with Sales, Marketing, Consulting, Product teams and communicate findings to senior leadership to ensure tool adoption and impact.
Bachelor’s degree in Data Science, Computer Science, Business Analytics, Economics, Finance, or related field.
Proficiency in SQL and experience with Business Intelligence tools such as Tableau or Power BI.
Experience in AI and machine learning concepts plus programming skills in Python or R for model development.
Work Experience Required: Not explicitly mentioned in the JD.
Strong technical expertise combined with a deep understanding of business needs in pre-sales or analytics environments.
Demonstrated ability to deliver AI and analytics-based solutions that drive measurable business outcomes and enable strategic decision-making.
Experience working collaboratively across multiple business functions to translate complex data insights into clear, actionable presentations for leadership.