Quant Analytics Associate - Cards

We are guided by curiosity, passion, and optimism, and we are dedicated to enabling growth opportunities for everyone. As a Quantitative Analytics Associate at JPMorganChase within the Card Data & Analytics organization, you will leverage data and analytics to accelerate growth, improve campaign performance, and deliver actionable insights. In this role, you’ll work closely with stakeholders to enable informed, data-driven decisions and continuous improvement across the Chase Card portfolio. Job responsibilities Manage and analyze large, complex datasets from multiple sources to develop actionable business strategies and insights that drive measurable outcomes Create accurate and timely analyses on a wide variety of areas including marketing offer operational performance, trend analysis, campaign performance and subscriber behavior and responses to marketing offers Communicate complex analytical results clearly and effectively to business partners and senior leadership, tailoring presentations to diverse audiences and technical backgrounds Develop and maintain operational dashboards to assist business functions Partner with cross functional teams to understand enterprise trends, competitive environment and their impacts on customer behavior and provide conclusions and recommendations Ability to synthesize large volumes of data into meaningful insights and drive actionable strategies. Support business growth targets by understanding business needs and providing concise, insightful and timely analytics for key trends through data analysis Execute responsibilities with a high degree of autonomy and limited oversight, independently managing programs, refining processes, and engaging stakeholders Must be self-directed, organized and detail oriented as well as have the ability to multitask and work effectively in a fast paced environment Required qualifications, capabilities, and skills Bachelor’s degree in a quantitative field such as Computer Science, Operations Research, Mathematics, Engineering, Econometrics, Statistics, or related discipline with 4 + years of relevant experience, or an advanced degree with 3 + years of experience Exceptional interpersonal and collaboration skills with the ability to explain complex mathematical concepts in accessible terms and influence business partners at all levels Proven track record of delivering analytics and insights to multiple levels of management, from operational teams to senior executives Hands-on experience with data mining techniques, analytical methodologies, and translating analysis into business strategy implementation Proficiency in data analysis programming languages such as Python or SAS, with experience in Big Data technologies including Snowflake, Databricks, or equivalent platforms Strong SQL skills and demonstrated experience working with relational databases to extract, manipulate, and analyze data Experience with data visualization techniques and reporting tools such as Tableau, Alteryx, or comparable platforms to create compelling visual narratives Advanced analytical, interpretive, and problem-solving skills with the ability to tackle ambiguous business challenges and derive actionable solutions Excellent written and oral communication skills, with the ability to distill complex analytical findings into clear, concise insights for senior business leaders and non-technical audiences Preferred qualifications, capabilities, and skills Expert in SQL. Proficiency with programming languages such as R/Python Prior exposure to marketing, competitive intelligence, or strategic analytics Ability to tell stories through data and generate insights to drive stakeholder deliverables Highly organized, intellectually curious, and able to prioritize multiple tasks