Top Data & Analytics Jobs

As the Data Visualization Vice President, you will design and implement data visualization projects, lead a team, and collaborate across departments to deliver insights and dashboards. Responsibilities include developing dashboards using Tableau, ensuring data integrity, and managing data visual solutions to drive business objectives.

The role involves analyzing customer behavioral data to enhance card marketing strategies, optimizing application performance, and driving insights for marketing campaigns using advanced analytics. You will collaborate with cross-functional teams to provide actionable insights and present findings to senior leadership.

The role supports execution of Data Governance programs, creates governing documents, prepares presentations, and maintains issue logs. Responsibilities include managing documentation and liaising with various departments and team members.

The Quant Analytics role involves identifying and documenting risks, supporting analytical functions for the Business Banking Lending Product, and collaborating with stakeholders for performance reporting. The position requires technical expertise to develop actionable insights through data analysis and visualization.

The Associate collaborates with the risk team to produce analytics and recommendations for the Digital Payments Fraud Strategy. Responsibilities include developing insights into account trends, understanding operational processes, and conducting ad hoc analytics.

As a Data Scientist in Payments Data & Analytics, you will analyze how money flows globally, creating insights that impact product strategy. Responsibilities include developing analytic projects, creating visualizations, and collaborating with stakeholders to enhance data models and algorithms for business objectives.

This role involves leading efforts in managing and governing reference data by developing a comprehensive governance framework, ensuring data quality and compliance, and collaborating with stakeholders to align data needs with business objectives. Responsibilities include implementing data quality practices, mitigating risks, and fostering accountability within the organization.