Top Data & Analytics Jobs

Lead analytics strategy for Digital products including Authentication and Tokenization. Manage a team to provide data-driven insights for business growth.

Design, build, and maintain scalable batch and streaming data pipelines across hybrid cloud. Prepare and validate datasets for analytics and ML, implement data quality, lineage and governance, optimize processing jobs, troubleshoot production pipelines, and support deployment and monitoring in cloud environments while collaborating with data scientists and engineering teams.

Support transaction and sanctions monitoring programs by tuning alerts, designing analytical features, and optimizing data analysis processes to prevent financial crime.

As a Data Scientist II, you'll develop advanced data visualization capabilities, manage large datasets, ensure data quality, and present data insights to support decision making.

Design, build, and scale cloud-native data and BI solutions on Databricks and Snowflake. Develop high-performance data pipelines, enable multi-cloud interoperability (AWS/Azure), implement governance and secure access patterns, maintain CI/CD and infrastructure-as-code for platform provisioning, and lead technical design while mentoring engineers.

Collect, validate and report quarterly operational performance data; perform detailed analytics to identify revenue leakage; support customer inquiries and training; contribute to process improvements, system enhancements, and quarterly business updates for regional finance teams.

The Vice President of Digital Product Analytics & Insights will lead analytics strategy for Digital products, manage a team, and drive data-driven decision-making across the business units.

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.

Lead design and delivery of cloud BI/analytics platform solutions using Databricks, Snowflake, AWS and Azure. Drive multi-cloud interoperability, governance, automation, security controls, and platform roadmaps to enable governed self-service analytics at scale.

Deliver and maintain people analytics reporting and metrics for global stakeholders. Build scalable visualizations, validate people data integrity, support BAU HR programs, and translate technical findings for leadership while protecting sensitive HR data.