Top Data & Analytics Jobs

Analyzes business challenges and opportunities across US Card products, lending, pricing, marketing, and credit risk. Builds models, tests hypotheses, develops strategic recommendations, and supports implementation and monitoring plans. Partners with IT, Sales, Operations, and Finance to improve quality, volume, service, and profitability. The role requires strong quantitative reasoning, communication, decision-making, and execution skills in a fast-paced environment.

Apply strategic analytics to workforce planning, design evaluation frameworks for HR programs, develop tools and automated insights to retain and develop talent, prototype AI-first data solutions, and analyze internal and external workforce data to inform executive HR decision-making.

Analyze complex data to solve business problems through innovation, business intelligence, and data management. Build self-service data solutions, dashboards, metrics, and visualization tools; deliver strategic insights; and manage data quality, metadata, lineage, security, access governance, and monitoring. Collaborate with business and technology teams while using scripting languages, data platforms, and AWS services.

Lead HR analytics reporting and strategic analysis to inform talent decisions. Build KPIs, dashboards and experiments, analyze program impacts, partner with HR stakeholders, and deliver insights for engagement, recruitment, attrition, and associate experience.

The role involves innovating data solutions, managing data quality, and providing business intelligence insights, utilizing various scripting languages and AWS services.

Creates and enhances reports and dashboards, writes basic SQL data scripts, manages production data jobs and release processes, supports user acceptance testing and data governance, and monitors process controls. The role analyzes process data, identifies trends and improvement opportunities, resolves complex issues, and collaborates with analysts, technology teams, risk stakeholders, and business leaders to improve operational efficiency.

Define and standardize enterprise data risk metrics, build dashboards and data products, monitor data quality and emerging risks, translate policies into measurable controls, and generate executive insights. The role partners across business, technology, risk, and data teams; leads cross-functional initiatives; supports data access governance; develops self-service data capabilities; and uses AI and cloud technologies to improve data management and reporting.

Analyze enterprise incentive compensation plans, performance measures, payout mechanics, and participant data to identify risks and trends. Develop quantitative models, test hypotheses, evaluate plan designs, and recommend improvements that balance business goals with prudent risk-taking. Translate complex analyses into actionable insights and presentations for senior leaders, partnering across HR, Finance, IT, Sales, and Operations to support decision-making and implementation.

Analyze payment, lending, marketing, and credit-risk data to identify business opportunities, build strategic recommendations, develop and monitor statistical models, and support product and pricing decisions. Partner with IT, Sales, Operations, Finance, and other teams to implement solutions, improve performance, and drive profitability. The role requires strong quantitative reasoning, business judgment, communication, leadership, and execution skills in a fast-paced environment.

Lead data governance for the Global Payment Network: implement and enforce policies, ensure data quality, master data management tooling, drive automation and process improvements, collaborate with executives, data stewards and tech teams, and synthesize risk reporting and insights for senior leadership.