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Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 brand, metro location, and broad generalist data/analytics skillset amplify applicant competition.
Core data, SQL and BI skills are transferable, but payments pre-sales context creates moderate domain specificity.
Moderate technical requirements (SQL, BI, Python/ML) but no explicit years makes filters moderately strict.
Job Description
Structured overview of role & requirementsAbout This Role
Develop and maintain pre-sales value quantification tools combining AI and analytics to support internal teams in communicating Mastercard's service value.
Manage and analyze large datasets using SQL and perform statistical analysis to extract actionable insights for strategic decision-making.
Collaborate cross-functionally with Sales, Marketing, Consulting, Product teams and present insights to senior leadership to ensure tool adoption and measurable business impact.
Minimum Requirements
Proficiency in SQL and experience with business intelligence tools like Tableau or Power BI.
Bachelor’s degree in data science, Computer Science, Business Analytics, Economics, Finance, or related field.
Knowledge of AI and machine learning algorithms plus experience with programming languages such as Python or R.
Work Experience Required: Not explicitly mentioned in the JD. Location: Pune, India.
Ideal Candidate Profile
Techno-functional expertise combining strong technical skills (data analytics, AI/ML) with deep understanding of business needs in pre-sales or value quantification contexts.
Experienced in managing large datasets and building dashboards/reports that drive actionable insights for strategic and operational decision-making.
Comfortable working collaboratively across multiple internal stakeholders and presenting complex data insights clearly to senior leadership for business outcomes.