Quant Analytics Senior Associate - Digital Analytics

JP Morgan Chase; Jersey City (NJ); On-site; USD 120,000 - 160,000; Full time

Job summary

JPMorganChase seeks an analytics professional to power the end-to-end account opening experience. You will transform product and platform data into actionable insights that shape decisions and delivery, with a focus on measurement design, storytelling, and scalable self-service analytics.

You will partner with product, engineering, and data teams to instrument pipelines and build reusable analysis assets, delivering executive-ready dashboards and proactive alerting.

Qualifications

• Bachelor's degree in a quantitative field (Statistics, Economics, Data Science, or similar).
• 3+ years of applied data analytics or business intelligence experience.
• Advanced SQL skills with Alteryx and Snowflake for large-scale data exploration.
• Hands-on with Adobe Analytics and/or Quantum Metric for digital analytics.
• Proficiency in Tableau or ThoughtSpot for executive dashboards.
• AI-assisted coding and analysis tools to automate recurring reporting.

Responsibilities

• Support day-to-day analytics for the Application Status product and partner with product and engineering teams.
• Define goals and KPIs across platform capabilities and monitor health and reliability.
• Analyze data across platforms and communicate insights to stakeholders.
• Design and maintain dashboards in Adobe Analytics and Quantum Metric.
• Create scalable data models and governed datasets for self-service reporting.

Skills

Analytical thinking

Storytelling

Problem solving

Self-service reporting

Executive communication

Education

Bachelor's degree in a quantitative field

Tools

SQL

Alteryx

Snowflake

Adobe Analytics

Quantum Metric

Tableau

ThoughtSpot

Job description

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.

Job 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

Required qualifications, capabilities and skills

• Bachelor's degree in a quantitative field (for example, 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

Preferred qualifications, capabilities and skills

• Experience supporting platform or application programming interface-based product ecosystems (for example, account opening, onboarding, or identity platforms)
• Preferably experiance 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