Top Data & Analytics Jobs

As a Lead Solutions Analyst, you will analyze and translate complex business requirements into technical solutions, guide the implementation of these solutions, and leverage data analytics for informed decision-making. You will also mentor team members and ensure stakeholder alignment, all while navigating a dynamic and evolving technical environment.

As a Data Owner Senior Associate, you will collaborate with cross-functional teams to drive personalization and advanced analytics for Offers & Shopping experiences. You will manage the Merchant Data roadmap, lead discovery on new initiatives for tech feasibility, refine user stories, and support agile practices to enhance consumer journey engagement.

The Global Corporate Banking Summer Analyst role involves working with Corporate Bankers to execute transactions, preparing marketing materials, creating financial models, and maintaining internal reports. The role requires strong analytical and project management skills and involves engagement with senior professionals over a seven-week program.

The Vice President will enhance client hedge fund portfolios through quantitative and qualitative due diligence, recommending hedge fund managers, and performing ongoing analysis. This role requires significant written analysis and project management within the manager research group.

As a Data & Analytics Solutions Engineer, you will design and develop analytical solutions, participate in building a cloud-native analytics platform, collect user requirements, and train users on quantitative models. You will also consult on integrating data science and machine learning into business initiatives.

The Data Associate at J.P. Morgan's Private Bank Client Service Analytics Team will be responsible for leveraging advanced data analytics and machine learning techniques to enhance client experience, collaborate with stakeholders, develop advanced analytics solutions, drive continuous improvement, and share knowledge within the team. Required qualifications include a PhD or MS in a quantitative discipline, strong technical expertise in machine learning, analytical skills, communication skills, collaboration skills, project management abilities, proficiency in advanced tools and platforms, and programming skills in Python.

The Analyst will support transaction execution in the Consumer & Retail sector, including due diligence, document preparation, and financial modeling. Responsibilities also involve preparing presentations for M&A and capital market transactions, while maintaining knowledge of market developments and client dynamics.