Quantitative Analytics Associate, Co-brand Card Data Analytics

JPMorgan Chase

Quick summary

Work type
On-site
Location
Wilmington, DE
Salary
$80,750–$120,000 / yr
Posted
18 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $160k
This role $100k
$67k most similar roles pay here $206k

This role pays less than 95% of similar roles. Most pay $126,257–$193,000 — the shaded band above. At the midpoint, this role pays about $100k versus about $160k for comparable roles.

Based on 240 similar postings.

Employer

About JPMorgan Chase

JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.

JPMorgan Chase currently has 436 open roles on FindRole.

Listed pay typically runs $152,000–$215,000 across 230 roles with salary data.

Most-posted roles

View all roles at JPMorgan Chase

At a glance

TL;DR · Quantitative Analytics Associate, Co-brand Card Data Analytics

Role Posting Log in to save

As a Quantitative Analytics Associate at JPMorganChase within the Co-brand Credit Card Analytics team, you will work closely with product, marketing, finance, operations, and data teams to develop analytical plans that enhance portfolio performance across the customer lifecycle. Your daily tasks include executing analytics to assess and improve key metrics such as acquisition economics, spend, engagement, retention, and attrition. You will also build measurement approaches to identify drivers of performance, translate findings into actionable recommendations, and maintain recurring partner reporting for senior stakeholders. Proficiency in SQL, Python, R, or SAS is essential, along with experience using visualization tools like Tableau and big data technologies such as Spark or Hadoop. This role requires strong analytical skills, the ability to communicate complex insights clearly, and a rigorous controls mindset to ensure data accuracy and compliance.

Skills

SQL Python R SAS Tableau Spark Hadoop CI/CD AWS Kubernetes Docker PostgreSQL Visualization_tools Big_data_technologies

What you'll do

  • Execute analytics to assess and improve portfolio performance across acquisition, spend, engagement, retention, and attrition.
  • Develop measurement approaches to identify key drivers of performance and quantify opportunity size.
  • Translate analytical findings into actionable recommendations for partnership strategy and rewards optimization.
  • Build and maintain recurring partner reporting and performance narratives for senior stakeholders.
  • Present insights and recommendations in clear, decision-ready formats to senior management and partner executives.

What we're looking for

  • Bachelor’s degree in a quantitative field with 2+ years of applied data analytics experience
  • Advanced proficiency in SQL and experience working with large, complex datasets
  • Experience using statistical tools (Python, R, or SAS) for analysis and insight communication
  • Strong analytical skills to structure business questions into testable analyses
  • Ability to communicate complex information clearly to both technical and non-technical audiences
  • Proven collaboration skills and ability to work effectively across teams at various levels

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