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.

Embedded product-oriented data specialist supporting Identity product teams. Designs analyses and experiments, analyzes complex datasets, builds pipelines and repeatable reporting, and delivers data-driven recommendations to inform product and engineering decisions focused on fraud, data enrichment, and cost optimization.

Lead analytics workstreams for clients, design and implement predictive models, analyze large datasets, generate business recommendations, manage stakeholder relationships, mentor junior consultants, and contribute to solution/IP development.

Deliver data-driven insights and analytics solutions for clients by analyzing large datasets, developing analytics strategies, creating presentations, leading meetings, and collaborating with stakeholders to drive recommendations and client value.

Lead design and delivery of data-driven automation and low-code solutions, manage project plans and stakeholder communications, optimize business processes, mentor junior engineers, and support Services product development and operations.

Lead strategy, architecture, and operation of an enterprise-scale data platform for batch and streaming workloads. Own ingestion, processing, storage, governance, reliability, and cloud modernization. Partner with DevOps/SRE and AI teams, drive platform enablement for analytics and AI, establish standards/SLAs, and build/mentor engineering leaders while ensuring security and operational excellence.

Support fraud prevention and compliance monitoring by analyzing customer data with SQL and BI tools, developing dashboards, investigating anomalies, preparing insights for stakeholders, and exploring Generative AI to improve analytics and automation.

Define and maintain data architecture, integration, and load processes. Build, test, and optimize database technologies and SQL performance. Support security posture, troubleshoot implementations, and provide technical guidance. Drive process improvements and may lead small projects within the data domain.

Lead recurring reporting and metrics for global people operations, partnering with People Analytics to build scalable reports and visualizations. Validate people data integrity, support BAU HR programs (performance management, talent reviews, surveys), translate technical analyses for non-technical leaders, and reduce ad-hoc requests by creating consistent analytics solutions while ensuring data governance and privacy.

Lead design and delivery of modern, secure, scalable cloud-native data platforms (Lakehouse) across AWS and Azure. Drive DevOps/IaC, data governance, medallion architecture, performance and cost optimization, mentor global engineers, and collaborate with stakeholders to translate business requirements into production data solutions.