Top Data & Analytics Jobs

As a Specialist in Product Management, you will contribute to client engagements by providing data-driven consulting, analytics solutions, and managing projects in diverse settings related to payments and loyalty products.

The Senior Analyst will develop and implement Master Data Management (MDM) strategies, ensuring data integrity and collaboration with business and IT stakeholders while overseeing data governance practices.

Lead analytics workstreams for clients by designing and implementing data-driven solutions, analyzing large datasets, synthesizing findings into recommendations, developing client presentations, managing stakeholders, mentoring junior consultants, and contributing to solution development and project management.

The Senior Analyst leads enhancements of the Internal Audit OpenPages, ensuring successful deployment, training, and adoption of data-driven solutions, while collaborating with teams across the organization.

The Analyst will perform data analyses, develop BI solutions, create dashboards using Tableau, and improve analytics delivery. It involves using internal and external data for decision-making.

The role involves managing data processing, cleaning, and organizing market research data to ensure accuracy. It requires collaboration with research vendors and teams, designing data tables, and providing clear actionable insights.

The Analyst will manage credit risk for assigned markets, implementing risk policies, providing data analysis, and preparing reporting for CRM activities.

The Director of Product Value Quantification will design and operationalize data assets and analytics to quantify Mastercard's product impact, lead cross-functional teams, and drive revenue growth through value measurement and storytelling.

As a Quantitative Research Manager, you will manage and deliver quantitative research projects, oversee fieldwork execution, ensure data quality, and collaborate with various teams to communicate research findings effectively.

The Lead Data Engineer is responsible for designing and implementing data models, optimizing data pipelines, and ensuring data quality and reliability within a collaborative analytics team environment.