Pay
$94.7K–$145K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 1,888 postings in the last year. Stated ranges, not salaries paid.
Small Business Card Data Analytics Team - Quant Analytics Senior Associate
Wilmington, DE, United States
Live, first seen by us 65 days ago- Pay
- Pay not listedSimilar roles state $95K–$145K
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
Before you apply
- Work authorization
- Must already have the right to work
We do not offer any type of employment-based immigration sponsorship for this position
What you’ll work on
Full postingAnalyze large, multi-source datasets and mine them for customer behavior insights
Present analytical results to business partners and senior leaders at varied technical depth
Advise on analytical approaches and measurement for marketing, finance and product problems
Contribute to data models and assess data quality and statistical anomalies
Pilot generative AI and AI-enabled analytics solutions for acquisition and performance measurement
From the employer’s posting
Manage and analyze large, complex datasets from multiple sources to develop actionable insights
Communicate analytical results clearly to business partners and senior leaders, tailoring messages to different audiences and levels of technical depth
Serve as a subject matter resource for data-driven decision-making by advising on analytical approaches, methods, and measurement
Collaborate with data owners and managers to contribute to data models, analytics architecture, and scalable data strategies
Evaluate and pilot artificial intelligence-enabled analytics solutions that support marketing acquisition strategy
Education & alternatives
Required qualifications, capabilities and skills - Bachelor’s degree in a quantitative field (for example: Computer Science, Operations Research, Mathematics, Engineering, Econometrics, Statistics, or related discipline) with 3+ years of relevant experience, or an advanced degree with 2+ years of experience - Proficiency in Python for data analysis and statistical modeling and strong SQL skills and experience extracting, transforming, and analyzing data from relational databases
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Sep 4, 202665 days ago
- Recorded sightings
- 199
- Last seen by us
- Nov 8, 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 65
Up longer than most. Similar jobs usually come down between day 5 and day 41.
Well past JPMorgan Chase’s usual: its jobs come down by about day 15.
From 11,673 similar postings that came down, and 932 of JPMorgan Chase’s. Coming down is not always a hire.
JPMorgan Chase is hiring
383 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring at a steady pace
- 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.
- Python
- SQL
- Databricks
- Snowflake
- Tableau
Where the posting names them
- Bachelor’s degree in a quantitative field (for example: Computer Science, Operations Research, Mathematics, Engineering, Econometrics, Statistics, or related discipline) with 3+ years of relevant experience, or an advanced degree with 2+ years of experience - Proficiency in Python for data analysis and statistical modeling and strong SQL skills and experience extracting, transforming, and analyzing data from relational databases - Experience working with modern data platforms such as Snowflake, Databricks, or equivalent technologies and experience applying data mining and analytical methodologies to translate analysis into business actions
- Proficiency in Python for data analysis and statistical modeling and strong SQL skills and experience extracting, transforming, and analyzing data from relational databases - Experience working with modern data platforms such as Snowflake, Databricks, or equivalent technologies and experience applying data mining and analytical methodologies to translate analysis into business actions - Experience creating dashboards, visualizations, or recurring reporting using tools such as Tableau, Alteryx, or comparable platforms
- Experience working with modern data platforms such as Snowflake, Databricks, or equivalent technologies and experience applying data mining and analytical methodologies to translate analysis into business actions - Experience creating dashboards, visualizations, or recurring reporting using tools such as Tableau, Alteryx, or comparable platforms - Demonstrated ability to present analytical findings clearly in writing and verbally to senior leaders and non-technical stakeholders
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
About JPMorgan Chase
- People
- About 318,512 in 2025.Annual report (SEC Form 10-K)
- Company
- Listed as JPM.
- Layoff notices
- Notices this year and last cover 152 people. The latest was filed March 23, 2026.State WARN notices
Demand for Analyst roles
New Analyst postings at the employers we follow are up 18% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Analyst, by the work the posting describes.
Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.
Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.
Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.
Job description
Join a team where your analytics directly shape how we acquire, engage, and serve small business customers—while helping improve product experiences and profitability through data-driven decisions.
As a Quantitative Analytics Senior Associate, within the Small Business Card team, you will assess portfolio performance, build executive-ready reporting, and translate customer behavior (spend, payment, and engagement) into insights that inform marketing strategy, resource allocation, and product innovation and partner across marketing, product, finance, and risk to turn complex analysis into clear recommendations and measurable outcomes.
Job responsibilities:
- Manage and analyze large, complex datasets from multiple sources to develop actionable insights that drive measurable business outcomes and apply advanced analytical and data mining techniques to identify meaningful patterns and translate findings into customer behavioral insights
- Communicate analytical results clearly to business partners and senior leaders, tailoring messages to different audiences and levels of technical depth and conduct deep-dive analyses to support marketing, finance, and broader business priorities using modern visualization and reporting tools
- Serve as a subject matter resource for data-driven decision-making by advising on analytical approaches, methods, and measurement and partner with internal stakeholders to solve quantitative business problems, optimize performance, and deliver practical solutions to critical needs
- Collaborate with data owners and managers to contribute to data models, analytics architecture, and scalable data strategies and identify process improvement opportunities by assessing data quality, surfacing statistical anomalies, and linking insights to business processes
- Manage deliverables with a high degree of autonomy, including program execution, stakeholder engagement, and continuous process refinement
- Use generative artificial intelligence and emerging tools to automate repetitive work, accelerate insight generation, and improve decision-making workflows
- Evaluate and pilot artificial intelligence-enabled analytics solutions that support marketing acquisition strategy and ongoing performance measurement
Required qualifications, capabilities and skills
- Bachelor’s degree in a quantitative field (for example: Computer Science, Operations Research, Mathematics, Engineering, Econometrics, Statistics, or related discipline) with 3+ years of relevant experience, or an advanced degree with 2+ years of experience
- Proficiency in Python for data analysis and statistical modeling and strong SQL skills and experience extracting, transforming, and analyzing data from relational databases
- Experience working with modern data platforms such as Snowflake, Databricks, or equivalent technologies and experience applying data mining and analytical methodologies to translate analysis into business actions
- Experience creating dashboards, visualizations, or recurring reporting using tools such as Tableau, Alteryx, or comparable platforms
- Demonstrated ability to present analytical findings clearly in writing and verbally to senior leaders and non-technical stakeholders
- Demonstrated ability to collaborate effectively with cross-functional partners and influence decisions through data-backed recommendations
- Experience using emerging technologies, including generative artificial intelligence tools, to improve analytical productivity and workflow efficiency
Preferred qualifications, capabilities and skills
- Experience developing executive-ready dashboards and performance measurement frameworks for marketing and portfolio analytics
- Demonstrated ability to influence prioritization and decisions through structured analytics storytelling and clear recommendations
- Experience identifying and scaling process improvements that improve data quality, repeatability, and reporting efficiency
- Expertise with generative artificial intelligence, large language models, artificial intelligence-assisted coding tools, or workflow automation platforms
We do not offer any type of employment-based immigration sponsorship for this position. Likewise, JPMorganChase , will not provide any assistance or sign any documentation in support of any other form of immigration sponsorship or benefit including optional practical training (OPT) or curricular practical training (CPT).
Source details
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Wilmington, DE, United States
Working pattern and location restrictions need checking in the full posting.
- Work authorization
- Expertise with generative artificial intelligence, large language models, artificial intelligence-assisted coding tools, or workflow automation platforms We do not offer any type of employment-based immigration sponsorship for this position. Likewise, JPMorganChase , will not provide any assistance or sign any documentation in support of any other form of immigration sponsorship or benefit including optional practical training (OPT) or curricular practical training (CPT).