Top Data & Analytics Jobs

Lead the central analytics team in developing and maintaining reporting, moving data analytics to the cloud, and improving analytic tools for the Point of Sale Fraud Strategy Team. Manage tech projects to enhance fraud authorization decision quality for Debit and Credit Card portfolios. Provide coaching, leadership, and optimization of fraud reports and dashboards. Interpret complex data and provide insights on risk dynamics and opportunities. Collaborate with cross-functional partners and senior executives to address business challenges.

Data Engineer III at JPMorgan Chase responsible for designing and delivering data solutions, developing data pipelines, and supporting data lifecycle across multiple technical areas. Required skills include SQL, NoSQL, statistical data analysis, and customization of tools. Preferred knowledge in SQL, SSIS/SSRS/SSAS, NoSQL, and Cloud platforms like AWS.

The role involves managing and maintaining the Consumer Analytic Reporting Infrastructure, performing financial data analysis, translating business requirements into solutions, testing during UAT, ensuring compliance with business requirements, and responding to ad-hoc analytics requests.

As a Data Engineer III, you'll design and deliver data solutions, develop and maintain data pipelines, and collaborate with team members to ensure effective data extraction and transformation. You will also work with cloud platforms and contribute to a culture of diversity and respect.

As a Governance and Data Associate, you will support the Private Banking Strategy team by managing the framework for operational management information, developing standardized metrics, and utilizing data visualization tools to provide insights. You will coordinate change management activities and engage with stakeholders to enhance data-led decision making.

The Reference Data Analyst is responsible for operational support, data management, governance, and control of reference data. Key tasks involve managing information related to financial instruments and ensuring compliance with policies. The role includes leading document initiatives, resolving operational issues, and maintaining high service standards for internal partners and clients.

The Applied AI ML Lead is responsible for ensuring high-quality data for machine learning models, collaborating with various teams to innovate data attributes, and implementing solutions for the card business to drive revenue growth and risk mitigation. The role involves designing attribute libraries, managing quality testing, and evaluating data sources, while effectively communicating results to senior management.