Pay
$118K–$195K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 3,817 postings in the last year. Stated ranges, not salaries paid.
Performance Marketing Analytics - Senior Associate
Columbus, OH, United States
Live, first seen by us 89 days ago- Pay
- Pay not listedSimilar roles state $118K–$195K
- 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, complex datasets from multiple sources to produce actionable insights
Design A/B, multivariate and holdout experiments to measure impact
Interpret experiment results using primary and guardrail metrics and significance
Diagnose performance drivers through segmentation, funnel and anomaly analysis
Build and maintain production-ready data pipelines and analytical frameworks
From the employer’s posting
Identify, integrate, and analyze large, complex datasets from multiple sources to generate actionable insights and recommendations
Design measurement approaches and experiments (including A/B, multivariate, and holdout designs) to quantify impact and inform decisions
Interpret experimental results using primary and guardrail metrics, statistical significance, and practical business impact
Diagnose performance drivers through segmentation, funnel analysis, and anomaly detection
Build and maintain scalable, production-ready data pipelines and analytical frameworks
Education & alternatives
Required qualifications, capabilities and skills - Bachelor’s degree in Data Science, Computer Science, or a related technical field - 2+ years of applied experience in analytics, software engineering, or a related field
Preferred qualifications, capabilities and skills - Master’s degree in Data Science, Computer Science, or a related technical field - Experience with data visualization or workflow tools (for example: Tableau or Alteryx)
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Aug 13, 202689 days ago
- Recorded sightings
- 141
- Last seen by us
- Nov 10, 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 89
Up longer than most. Similar jobs usually come down between day 8 and day 59.
Well past JPMorgan Chase’s usual: its jobs come down by about day 15.
From 11,367 similar postings that came down, and 967 of JPMorgan Chase’s. Coming down is not always a hire.
JPMorgan Chase is hiring
366 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Data Scientist hiring has slowed
- 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
- R
- SQL
- Tableau
Where the posting names them
- Build and maintain scalable, production-ready data pipelines and analytical frameworks that enable repeatable reporting and insights - Write secure, stable, testable, and maintainable code using SQL and Python or R, with strong attention to quality and controls - Communicate complex findings through clear narratives and visualizations; present to senior stakeholders and influence roadmaps and priorities
- Experience with data visualization or workflow tools (for example: Tableau or Alteryx) - Proficiency in Python or R for analysis and automation - Experience applying machine learning and generative AI tools to automate workflows and deliver insights, with a responsible and compliant approach
- Hands-on experience with system design, application development, testing, and operational stability - Strong SQL skills and experience working with relational databases to extract, manipulate, and analyze data - Experience building analytical solutions across multiple data sources, with attention to data quality and reproducibility
- Master’s degree in Data Science, Computer Science, or a related technical field - Experience with data visualization or workflow tools (for example: Tableau or Alteryx) - Proficiency in Python or R for analysis and automation
Your next step
Complete your application on jpmc.fa.oraclecloud.com. The employer’s form will show what is required.
Applying through Oracle Recruiting
- Applying starts by asking for your email address.
- Each employer sets which files it accepts, so read the note beside the upload field.
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 Data Scientist roles
New Data Scientist postings at the employers we follow are down 6% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 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 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 a team that helps shape how millions of customers discover and choose Chase digital experiences. You will work at the intersection of analytics, data science, and data engineering to turn complex data into clear decisions and scalable solutions.
As a Quantitative Analytics Senior Associate at JPMorganChase within Performance Marketing Analytics, you will own the lifecycle from raw data to executive-ready insight. You will design and interpret experiments, develop analytical frameworks, and build reliable pipelines that help teams move faster with confidence. You will partner with marketing, product, and technology stakeholders to measure performance, optimize customer acquisition, and strengthen Owned Media strategy through data.
Job responsibilities
- Identify, integrate, and analyze large, complex datasets from multiple sources to generate actionable insights and recommendations
- Design measurement approaches and experiments (including A/B, multivariate, and holdout designs) to quantify impact and inform decisions
- Interpret experimental results using primary and guardrail metrics, statistical significance, and practical business impact
- Diagnose performance drivers through segmentation, funnel analysis, and anomaly detection (for example: device, customer type, drop-off points, traffic allocation, and logging gaps)
- Build and maintain scalable, production-ready data pipelines and analytical frameworks that enable repeatable reporting and insights
- Write secure, stable, testable, and maintainable code using SQL and Python or R, with strong attention to quality and controls
- Communicate complex findings through clear narratives and visualizations; present to senior stakeholders and influence roadmaps and priorities
- Stay current on innovations in analytics and responsibly use approved AI-assisted analytics tools to accelerate development, documentation, and issue triage
Required qualifications, capabilities and skills
- Bachelor’s degree in Data Science, Computer Science, or a related technical field
- 2+ years of applied experience in analytics, software engineering, or a related field
- Hands-on experience with system design, application development, testing, and operational stability
- Strong SQL skills and experience working with relational databases to extract, manipulate, and analyze data
- Experience building analytical solutions across multiple data sources, with attention to data quality and reproducibility
- Ability to manage multiple priorities independently with strong organization and attention to detail
- Strong written and verbal communication skills, with the ability to distill complex findings into clear, concise insights for varied audiences
- Experience translating analytical outcomes into business actions in partnership with cross-functional stakeholders
Preferred qualifications, capabilities and skills
- Master’s degree in Data Science, Computer Science, or a related technical field
- Experience with data visualization or workflow tools (for example: Tableau or Alteryx)
- Proficiency in Python or R for analysis and automation
- Experience applying machine learning and generative AI tools to automate workflows and deliver insights, with a responsible and compliant approach
- Understanding of responsible AI practices, including data sensitivity considerations and secure handling of inputs and outputs
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
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Columbus, OH, United States
Working pattern and location restrictions need checking in the full posting.
- Work authorization
- Understanding of responsible AI practices, including data sensitivity considerations and secure handling of inputs and outputs 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).