Quant Analytics Senior Associate - Digital Analytics

JPMorganChase • Jersey City, NJ

1d

About The Position

Join JPMorganChase’s Acquisition Enablement Platforms team in Digital Analytics and help power the end-to-end account opening experience for millions of customers. This role turns complex product and platform data into clear, actionable insights that improve performance, reliability, and customer outcomes. The successful candidate works closely with product and technology partners, with their work influencing decisions and delivery.

As a Senior Associate, Digital Analytics, 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 support consistent decision-making. You will also use Artificial Intelligence-enabled tools to accelerate insight generation while ensuring results are validated and reproducible.

Requirements

• Bachelor’s degree in a quantitative field, such as Statistics, Economics, or Data Science.
• 3+ years of applied experience in data analytics or business intelligence.
• Advanced SQL skills and experience using Alteryx and Snowflake for large-scale data exploration, profiling, reconciliation, and root-cause analysis.
• Hands-on experience with Adobe Analytics and/or Quantum Metric for digital instrumentation and behavioral analytics.
• Proficiency in data visualization tools such as Tableau or ThoughtSpot to build executive-ready dashboards and self-service reporting.
• 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 results.
• Strong analytical problem-solving skills, including the ability to frame ambiguous questions, structure analytical approaches, and deliver insight-driven recommendations.
• Excellent written and verbal communication skills, including the ability to present clear, compelling stories to senior stakeholders.

Nice To Haves

• Experience supporting platform or application programming interface-based product ecosystems, such as account opening, onboarding, or identity platforms.
• Experience or background supporting digital products in banking or financial technology.
• Familiarity with anomaly detection techniques and building alerting pipelines.
• Exposure to experimentation or test-and-learn frameworks to measure feature impact.
• Understanding of digital funnel analytics and customer journey measurement.
• Experience working in an Agile product delivery environment.

Responsibilities

• Support day-to-day analytics for the Application Status product, partnering with product and engineering teams to measure feature impact and guide iterative improvements.
• Define and develop goals and key performance metrics across platform capabilities, establishing a measurement framework to monitor health, performance, and reliability.
• Analyze data across multiple platform capabilities to identify trends, anomalies, and gaps; communicate insights and recommendations to product and technology stakeholders.
• Design and maintain dashboards in Adobe Analytics and Quantum Metric to track interaction volumes and create proactive alerting to detect anomalies and platform degradation.
• Use Artificial Intelligence-enabled tools to accelerate data integration, analysis, and narrative standardization while maintaining validated, reproducible outputs.
• Design scalable analytical data models and governed datasets that enable reliable self-service reporting, metric consistency, and downstream automation.
• Collaborate with product managers, engineers, and data engineering teams to ensure instrumentation, pipelines, and reporting are accurate, scalable, and aligned to business goals.
• Build reusable analysis playbooks and frameworks that improve speed-to-insight and expand analytics maturity across the platform.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior