Top Data & Analytics Jobs

As a Manager for Product Development, you will lead fraud detection efforts, utilize data analytics to minimize fraud risks, and improve operational processes. The role focuses on data analysis, collaboration with stakeholders, and enhancing fraud prevention strategies within Mastercard's operations.

The Supply Chain Intern supports data analysis, dashboard development, and documentation, collaborating with teams to translate business needs into insights.

As a Data Scientist, you will analyze complex economic data using statistical and machine learning models to influence policy decisions. You'll collaborate with economists and other stakeholders, manage data processes, develop visualizations, and stay current with data science advancements.

The role involves managing client portfolios and trading derivatives while conducting quantitative research, enhancing trading infrastructure, and presenting investment findings to clients.

As a Senior Data Analyst, you'll analyze complex data, create data models, and deliver actionable insights to guide product development and business decisions.

The Data Analyst will leverage data to optimize operations and enhance products by analyzing user behavior, building dashboards, and delivering insights to improve customer experiences.

The Options and Margin Risk Analyst monitors client accounts for risk exposures related to options trading, performing surveillance, analysis, and risk reporting, while ensuring compliance with margin requirements.

The Analyst II Maintenance Systems evaluates analytics to identify trends, supports cost savings initiatives, and improves productivity across brands. They develop reporting tools, manage data completeness, and collaborate with teams to enhance maintenance operations.

As a Payments Business Analyst, you'll optimize payment costs, manage fee configurations, and analyze data to provide insights for fee transparency while collaborating with various teams.

As a Senior Data Scientist, you will analyze product usage, develop frameworks for user behavior, build statistical models, and collaborate with cross-functional teams to derive actionable insights and influence decision-making.