Pay
$118K–$193K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 3,721 postings in the last year. Stated ranges, not salaries paid.
Quant Analytics Senior Associate - Digital Analytics
Jersey City, NJ, United States
Actively hiring, first seen by us today- Pay
- Pay not listedSimilar roles state $118K–$193K
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingAnalyze platform data to find trends, anomalies and gaps, and present recommendations
Design and maintain dashboards and proactive anomaly alerting in Adobe Analytics and Quantum Metric
Define goals and KPIs and a measurement framework for platform health and reliability
Design scalable data models and governed datasets for self-service reporting
Support day-to-day analytics for the Application Status product, measuring feature impact
From the employer’s posting
Analyze data across multiple platform capabilities to identify trends, anomalies, and gaps
Design and maintain dashboards in Adobe Analytics and Quantum Metric to track interaction volumes and create proactive alerting to detect anomalies and platform degradation
Define and develop goals and key performance metrics across platform capabilities, establishing a measurement framework to monitor health, performance, and reliability
Design scalable analytical data models and governed datasets that enable reliable self-service reporting, metric consistency, and downstream automation
Support day-to-day analytics for the Application Status product, partnering with product and engineering teams to measure feature impact and guide iterative improvements
Education & alternatives
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
Posting record
Report an errorActively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 3, 2026today
- Recorded sightings
- 2
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 0
Early. Similar jobs usually come down between day 7 and day 55.
From 9,971 similar postings that came down. Coming down is not always a hire.
JPMorgan Chase is hiring
413 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Data Scientist hiring is steady
- Takes jobs down at a usual pace
- 3% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- SQL
- Snowflake
- Tableau
Where the posting names them
- 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
- 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
Your next step
Complete your application on jpmc.fa.oraclecloud.com. The employer’s form will show what is required.
Applying through Oracle Recruiting
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Already applied? Track this application
Has JPMorgan Chase posted this job before?
Yes. We’ve followed 2 other Quant Analytics Senior Associate - Digital Analytics jobs there since September 2026. All 2 are still up.
About the role
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
US government figures for data scientists
- Median yearly pay, May 2025
- $120,230
- Expected change, 2025 to 2035
- 34.6% more jobsagainst 3.5% for all jobs
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
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.
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
- 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
Source details
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Jersey City, NJ, United States
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.