Home › Companies › Jpmc Fa Oraclecloud Com CX 1002 › Marketing Analytics Associate - Card Data & Analytics
Marketing Analytics Associate - Card Data & Analytics
Jpmc Fa Oraclecloud Com CX 1002 · Wilmington, DE, United States; 52381-One Christina Center, Wilmington, DE, US · On Site · Active · Oracle Recruiting Cloud / Fusion HCM
Job facts
| Field | Value |
|---|---|
| Company | Jpmc Fa Oraclecloud Com CX 1002 |
| Title | Marketing Analytics Associate - Card Data & Analytics |
| Normalized title | - |
| Department / team | Consumer & Community Banking |
| Location | Wilmington, DE, United States |
| Work model | On Site |
| Employment type | Full Time |
| Salary | - |
| Status | active |
| ATS provider | Oracle Recruiting Cloud / Fusion HCM |
| Posted / first seen | 2026-06-03 / 2026-06-04 |
| Changed / last seen | 2026-06-04 / 2026-06-04 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Jpmc Fa Oraclecloud Com CX 1002. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Oracle Recruiting Cloud / Fusion HCM. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in Wilmington. | Open |
| Department jobs | Active postings in Consumer & Community Banking. | Open |
| Work model jobs | Active On Site postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Jpmc Fa Oraclecloud Com CX 1002 |
| Source | ed8d7a64-2bb7-4180-aca7-787bf69dab15 |
| ATS provider | Oracle Recruiting Cloud / Fusion HCM |
Description
Description
Join a high-impact analytics team where your work helps shape how we reach customers across digital channels. You will translate complex behavioral data into clear recommendations, optimize marketing through testing and measurement, and partner closely with marketing, product, and data stakeholders to unlock the value of our data and drive growth.
As a Marketing Analytics Associate at JPMorganChase within the Card Data and Analytics team, you will translate customer behavioral data into insights that inform digital marketing strategies and influence new card acquisitions. You will plan and execute analytical projects independently and with teammates, partnering with channel marketing, product, and data owners to enable data-driven decision-making. You will communicate insights in a clear, compelling way to support business growth and continuous improvement.
Job responsibilities
Devise and evaluate methods and procedures for collecting and validating data across digital channels Analyze customer behavior and campaign performance to identify actionable opportunities to improve acquisition outcomes Partner with digital channel marketing and product teams to deliver insights that inform strategy and execution Build concise, timely analytics on key trends from large datasets to support growth targets Synthesize complex analyses into clear recommendations for marketing strategy and audience decisioning Measure and report results of A/B (split) tests and other experiments to guide optimization decisions Develop and maintain reporting and performance measurement to support ongoing decision-making Present insights and recommendations to senior stakeholders through clear narratives and data visualizations Required qualifications, capabilities and skills
Bachelor’s degree in a quantitative field (for example, Statistics, Economics, Applied Mathematics, Operations Research, Physics, or Data Science) 1+ years of applied analytics experience (for example, digital analytics, customer analytics, marketing analytics, sales analytics, or business insights) Strong data querying and data mining skills using SQL Applied experience using Python for analysis (for example, data wrangling, exploratory analysis, and measurement) Experience with business intelligence and visualization tools (for example, Tableau) Ability to translate analytical findings into clear, actionable recommendations for non-technical stakeholders Strong written and verbal communication skills, including comfort presenting to senior audiences Demonstrated ability to collaborate effectively across marketing, product, and data stakeholders Preferred qualifications, capabilities and skills
Master’s degree in a quantitative field Working knowledge of data science techniques (for example, segmentation and machine learning concepts) Experience with digital analytics and marketing tools (for example, Adobe Analytics and Alteryx) Experience defining key performance indicators and establishing measurement frameworks Experience in financial services or regulated industries
Organization
Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction.
The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.
Company
Chase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
Equal Opportunity Employer/Disability/Veterans
Full job record
| Job ID | 9af8e44aa63c93ca4f9a7a02a557f59ccb8ccc57 |
| Org ID | 29197936-fa31-4071-953c-a4a68cabdc6e |
| Source ID | ed8d7a64-2bb7-4180-aca7-787bf69dab15 |
| Board ID | ed8d7a64-2bb7-4180-aca7-787bf69dab15 |
| Provider | oracle_hcm |
| Provider Job Key | 210751691 |
| Title | Marketing Analytics Associate - Card Data & Analytics |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | Wilmington, DE, United States; 52381-One Christina Center, Wilmington, DE, US |
| Department | Consumer & Community Banking |
| Team | — |
| Employment Type | full_time |
| Workplace Type | on_site |
| Remote Policy | — |
| Country | United States |
| Region | DE |
| City | Wilmington |
| Salary Raw | Description Join a high-impact analytics team where your work helps shape how we reach customers across digital channels. You will translate complex behavioral data into clear recommendations, optimize marketing through testing and measurement, and partner closely with marketing, product, and data stakeholders to unlock the value of our data and drive growth. As a Marketing Analytics Associate at JPMorganChase within the Card Data and Analytics team, you will translate customer behavioral data into insights that inform digital marketing strategies and influence new card acquisitions. You will plan and execute analytical projects independently and with teammates, partnering with channel marketing, product, and data owners to enable data-driven decision-making. You will communicate insights in a clear, compelling way to support business growth and continuous improvement. Job responsibilities Devise and evaluate methods and procedures for collecting and validating data across digital channels Analyze customer behavior and campaign performance to identify actionable opportunities to improve acquisition outcomes Partner with digital channel marketing and product teams to deliver insights that inform strategy and execution Build concise, timely analytics on key trends from large datasets to support growth targets Synthesize complex analyses into clear recommendations for marketing strategy and audience decisioning Measure and report results of A/B (split) tests and other experiments to guide optimization decisions Develop and maintain reporting and performance measurement to support ongoing decision-making Present insights and recommendations to senior stakeholders through clear narratives and data visualizations Required qualifications, capabilities and skills Bachelor’s degree in a quantitative field (for example, Statistics, Economics, Applied Mathematics, Operations Research, Physics, or Data Science) 1+ years of applied analytics experience (for example, digital analytics, customer analytics, marketing analytics, sales analytics, or business insights) Strong data querying and data mining skills using SQL Applied experience using Python for analysis (for example, data wrangling, exploratory analysis, and measurement) Experience with business intelligence and visualization tools (for example, Tableau) Ability to translate analytical findings into clear, actionable recommendations for non-technical stakeholders Strong written and verbal communication skills, including comfort presenting to senior audiences Demonstrated ability to collaborate effectively across marketing, product, and data stakeholders Preferred qualifications, capabilities and skills Master’s degree in a quantitative field Working knowledge of data science techniques (for example, segmentation and machine learning concepts) Experience with digital analytics and marketing tools (for example, Adobe Analytics and Alteryx) Experience defining key performance indicators and establishing measurement frameworks Experience in financial services or regulated industries Organization Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction. The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes. Company Chase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. Equal Opportunity Employer/Disability/Veterans |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://jpmc.fa.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1002/job/210751691 |
| Apply URL | https://jpmc.fa.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1002/job/210751691 |
| First Seen At | 2026-06-04 10:56:26Z |
| Last Seen At | 2026-06-04 10:56:26Z |
| Last Checked At | 2026-06-04 10:56:26Z |
| Last Changed At | 2026-06-04 10:56:26Z |
| Inactive At | — |
| Source Posted At | 2026-06-03 14:26:53Z |
| Source Updated At | — |
| Raw Payload Uri | s3://bluework-jobs-prod-raw-590183727216/raw/provider=oracle_hcm/board=jpmc.fa.oraclecloud.com|CX_1002/date=2026-06-04/2026-06-04T10-53-32-212Z-0db982053d4a5130ce165dd7eda421a929550a3d29817647d92c13a9a4baf878.json |
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You will translate complex behavioral data into clear recommendations, optimize marketing through testing and measurement, and partner closely with marketing, product, and data stakeholders to unlock the value of our data and drive growth.</p><p data-testid=\"dialog-markdown-paragraph\" style=\"-webkit-text-stroke-width: 0px; background-color: rgb(255, 255, 255); color: rgb(0, 0, 0); font-family: "Open Sans", Inter, Avenir, Helvetica, Arial, sans-serif; font-size: 14px; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; letter-spacing: normal; margin: 0px; orphans: 2; overflow-wrap: break-word; padding-bottom: 12px; text-align: start; text-decoration-color: initial; text-decoration-style: initial; text-decoration-thickness: initial; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px;\">As a Marketing Analytics Associate at JPMorganChase within the Card Data and Analytics team, you will translate customer behavioral data into insights that inform digital marketing strategies and influence new card acquisitions. You will plan and execute analytical projects independently and with teammates, partnering with channel marketing, product, and data owners to enable data-driven decision-making. You will communicate insights in a clear, compelling way to support business growth and continuous improvement.</p><p data-testid=\"dialog-markdown-paragraph\" style=\"-webkit-text-stroke-width: 0px; background-color: rgb(255, 255, 255); color: rgb(0, 0, 0); font-family: "Open Sans", Inter, Avenir, Helvetica, Arial, sans-serif; font-size: 14px; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; letter-spacing: normal; margin: 0px; orphans: 2; overflow-wrap: break-word; padding-bottom: 12px; text-align: start; text-decoration-color: initial; text-decoration-style: initial; text-decoration-thickness: initial; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px;\"><strong>Job responsibilities</strong></p><ul style=\"-webkit-text-stroke-width: 0px; background-color: rgb(255, 255, 255); color: rgb(0, 0, 0); font-family: "Open Sans", Inter, Avenir, Helvetica, Arial, sans-serif; font-size: 14px; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; letter-spacing: normal; margin-bottom: 16px; margin-top: 0px; orphans: 2; padding-bottom: 0px; padding-top: 0px; text-align: start; text-decoration-color: initial; text-decoration-style: initial; text-decoration-thickness: initial; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px;\"><li style=\"margin-bottom: 8px;\">Devise and evaluate methods and procedures for collecting and validating data across digital channels</li><li style=\"margin-bottom: 8px;\">Analyze customer behavior and campaign performance to identify actionable opportunities to improve acquisition outcomes</li><li style=\"margin-bottom: 8px;\">Partner with digital channel marketing and product teams to deliver insights that inform strategy and execution</li><li style=\"margin-bottom: 8px;\">Build concise, timely analytics on key trends from large datasets to support growth targets</li><li style=\"margin-bottom: 8px;\">Synthesize complex analyses into clear recommendations for marketing strategy and audience decisioning</li><li style=\"margin-bottom: 8px;\">Measure and report results of A/B (split) tests and other experiments to guide optimization decisions</li><li style=\"margin-bottom: 8px;\">Develop and maintain reporting and performance measurement to support ongoing decision-making</li><li style=\"margin-bottom: 8px;\">Present insights and recommendations to senior stakeholders through clear narratives and data visualizations</li></ul><p data-testid=\"dialog-markdown-paragraph\" style=\"-webkit-text-stroke-width: 0px; background-color: rgb(255, 255, 255); color: rgb(0, 0, 0); font-family: "Open Sans", Inter, Avenir, Helvetica, Arial, sans-serif; font-size: 14px; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; letter-spacing: normal; margin: 0px; orphans: 2; overflow-wrap: break-word; padding-bottom: 12px; text-align: start; text-decoration-color: initial; text-decoration-style: initial; text-decoration-thickness: initial; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px;\"><strong>Required qualifications, capabilities and skills</strong></p><ul style=\"-webkit-text-stroke-width: 0px; background-color: rgb(255, 255, 255); color: rgb(0, 0, 0); font-family: "Open Sans", Inter, Avenir, Helvetica, Arial, sans-serif; font-size: 14px; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; letter-spacing: normal; margin-bottom: 16px; margin-top: 0px; orphans: 2; padding-bottom: 0px; padding-top: 0px; text-align: start; text-decoration-color: initial; text-decoration-style: initial; text-decoration-thickness: initial; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px;\"><li style=\"margin-bottom: 8px;\">Bachelor’s degree in a quantitative field (for example, Statistics, Economics, Applied Mathematics, Operations Research, Physics, or Data Science)</li><li style=\"margin-bottom: 8px;\">1+ years of applied analytics experience (for example, digital analytics, customer analytics, marketing analytics, sales analytics, or business insights)</li><li style=\"margin-bottom: 8px;\">Strong data querying and data mining skills using SQL</li><li style=\"margin-bottom: 8px;\">Applied experience using Python for analysis (for example, data wrangling, exploratory analysis, and measurement)</li><li style=\"margin-bottom: 8px;\">Experience with business intelligence and visualization tools (for example, Tableau)</li><li style=\"margin-bottom: 8px;\">Ability to translate analytical findings into clear, actionable recommendations for non-technical stakeholders</li><li style=\"margin-bottom: 8px;\">Strong written and verbal communication skills, including comfort presenting to senior audiences</li><li style=\"margin-bottom: 8px;\">Demonstrated ability to collaborate effectively across marketing, product, and data stakeholders</li></ul><p data-testid=\"dialog-markdown-paragraph\" style=\"-webkit-text-stroke-width: 0px; background-color: rgb(255, 255, 255); color: rgb(0, 0, 0); font-family: "Open Sans", Inter, Avenir, Helvetica, Arial, sans-serif; font-size: 14px; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; letter-spacing: normal; margin: 0px; orphans: 2; overflow-wrap: break-word; padding-bottom: 12px; text-align: start; text-decoration-color: initial; text-decoration-style: initial; text-decoration-thickness: initial; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px;\"><strong>Preferred qualifications, capabilities and skills</strong></p><ul style=\"-webkit-text-stroke-width: 0px; background-color: rgb(255, 255, 255); color: rgb(0, 0, 0); font-family: "Open Sans", Inter, Avenir, Helvetica, Arial, sans-serif; font-size: 14px; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; letter-spacing: normal; margin-bottom: 16px; margin-top: 0px; orphans: 2; padding-bottom: 0px; 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"AddressLine1": "301 N Walnut St",
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"LocationName": "52381-One Christina Center"
}
],
"LegalEmployer": null,
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"BusinessUnitId": 300000086610208,
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"PrimaryLocation": "Wilmington, DE, United States",
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"BeFirstToApplyFlag": false,
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"otherWorkLocations": [],
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"ShortDescriptionStr": "Transform digital customer behavior into insights that fuel card growth through testing, measurement, and compelling storytelling",
"requisitionFlexFields": [],
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"PrimaryLocationCountry": "US",
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},
"detail_meta": {
"url": "https://jpmc.fa.oraclecloud.com/hcmRestApi/resources/latest/recruitingCEJobRequisitionDetails?expand=all&onlyData=true&finder=ById;Id=%22210751691%22,siteNumber=CX_1002",
"http_status": 200,
"content_type": "application/json",
"response_bytes": 16206
},
"detail_errors": []
}Get this page with API
Rendered from the bluedoor Job Postings API. Reproduce it:
GET https://api.bluedoor.sh/job-postings/v1/jobs/9af8e44aa63c93ca4f9a7a02a557f59ccb8ccc57?include=descriptionJSONGET https://api.bluedoor.sh/job-postings/v1/orgs/29197936-fa31-4071-953c-a4a68cabdc6eJSONGET https://api.bluedoor.sh/job-postings/v1/sources/ed8d7a64-2bb7-4180-aca7-787bf69dab15JSONGET https://api.bluedoor.sh/job-postings/v1/jobs/9af8e44aa63c93ca4f9a7a02a557f59ccb8ccc57/eventsJSON