Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Tier-1 brand, metro location, and a generalist data/analytics analyst role raise competition.
Core analytics skills are transferable, though payments and pre-sales focus adds moderate domain specificity.
Specific technical skills (SQL, BI, Python, ML) are required but no explicit years, indicating medium strictness.
Develop and maintain AI-driven tools to quantify the value of Mastercard’s services in pre-sales to support internal teams.
Analyze large datasets using SQL and perform statistical analysis to generate actionable insights informing strategic decisions.
Collaborate cross-functionally to ensure tool alignment with business needs and communicate value through dashboards and presentations to leadership.
Bachelor’s degree in data science, Computer Science, Business Analytics, Economics, Finance, or related field; advanced degrees or certifications preferred.
Proficiency in SQL and database management systems for handling large datasets.
Experience with business intelligence tools such as Tableau or Power BI to create dashboards and reports.
Work Experience Required: Not explicitly mentioned in the JD.
Techno-functional professional combining strong technical skills with business understanding, especially in pre-sales value quantification.
Experienced in AI and machine learning integration with analytics to enhance business tools and decision-making.
Experienced in collaborating across multiple internal teams (Sales, Marketing, Consulting, Product) and effectively communicating insights to senior leadership.