Join JPMorganChase's Acquisition Enablement Platforms team in Digital Analytics and help power the end-to-end account opening experience for millions of customers. You will turn complex product and platform data into clear, actionable insights that improve performance, reliability, and customer outcomes. You will work side-by-side with product and technology partners and see your work directly influence decisions and delivery. This role is ideal for an analytics professional who enjoys measurement design, storytelling, and scaling self-service analytics. As a Senior Associate, Digital Analytics at JPMorganChase within the Acquisition Enablement Platforms team, you will serve as the analytics backbone for product and technology partners across a high-impact platform. You will define measurement strategy, build analytical frameworks, and create reliable dashboards and governed datasets that enable consistent decision-making. You will also help accelerate insight generation through responsible use of Artificial Intelligence-enabled tools while ensuring results are validated and reproducible. Job responsibilities 3 Support day-to-day analytics for the Application Status product, partnering with product and engineering teams to measure feature impact and guide iterative improvements3 Define and develop goals and key performance metrics across platform capabilities, establishing a measurement framework to monitor health, performance, and reliability3 Analyze data across multiple platform capabilities to identify trends, anomalies, and gaps; communicate insights and recommendations to product and technology stakeholders3 Design and maintain dashboards in Adobe Analytics and Quantum Metric to track interaction volumes and create proactive alerting to detect anomalies and platform degradation3 Use Artificial Intelligence-enabled tools to accelerate data integration, analysis, and narrative standardization while maintaining validated, reproducible outputs3 Design scalable analytical data models and governed datasets that enable reliable self-service reporting, metric consistency, and downstream automation3 Collaborate with product managers, engineers, and data engineering teams to ensure instrumentation, pipelines, and reporting are accurate, scalable, and aligned to business goals3 Build reusable analysis playbooks and frameworks that improve speed-to-insight and expand analytics maturity across the platform Required qualifications, capabilities and skills 3 Bachelor's degree in a quantitative field (for example, Statistics, Economics, or Data Science)3 3+ years of applied experience in data analytics or business intelligence3 Advanced SQL skills and experience using Alteryx and Snowflake for large-scale data exploration, profiling, reconciliation, and root-cause analysis3 Hands-on experience with Adobe Analytics and/or Quantum Metric for digital instrumentation and behavioral analytics3 Proficiency in data visualization tools such as Tableau or ThoughtSpot to build executive-ready dashboards and self-service reporting3 Demonstrated ability to use Artificial Intelligence-assisted coding and analysis tools to automate recurring reporting, standardize insight narratives, and build reusable analysis assets with validated results3 Strong analytical problem-solving skills, including the ability to frame ambiguous questions, structure analytical approaches, and deliver insight-driven recommendations3 Excellent written and verbal communication skills, including the ability to present clear, compelling stories to senior stakeholders Preferred qualifications, capabilities and skills 3 Experience supporting platform or application programming interface-based product ecosystems (for example, account opening, onboarding, or identity platforms)3 Preferably experiance or background supporting digital products in banking or financial technology3 Familiarity with anomaly detection techniques and building alerting pipelines3 Exposure to experimentation or test-and-learn frameworks to measure feature impact3 Understanding of digital funnel analytics and customer journey measurement3 Experience working in an Agile product delivery environment About the Team Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction. The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.