Associate, Data Analytics, Commercial & Investment Bank, Tech Strategy and Execution

JPMorgan Chase

Quick summary

Work type
On-site
Location
New York, NY
Salary
$118,750–$125,000 / yr
Posted
2 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $174k
This role $122k
$108k most similar roles pay here $224k

This role pays less than 86% of similar roles. Most pay $135,281–$212,281 — the shaded band above. At the midpoint, this role pays about $122k versus about $174k 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 · Associate, Data Analytics, Commercial & Investment Bank, Tech Strategy and Execution

Role Posting Log in to save

JPMorgan Chase’s Commercial & Investment Bank is hiring an Associate for its AI for Tech initiative within the Tech Strategy and Execution team. This hands-on role involves designing and building scalable data ingestion pipelines, evolving engineering measurement models, and driving improvements in data quality across multiple sources. You will develop metrics to quantify software engineering throughput and business outcomes, engaging with stakeholders to ensure alignment with diverse customer needs. The position requires expertise in Python, SQL, Spark, Databricks, and data visualization tools like Tableau, alongside a strong understanding of the software development lifecycle. Ideal candidates have experience in quantitative fields such as Computer Science or Data Science and can translate ambiguous questions into actionable insights for senior leadership.

Skills

Python SQL Spark Databricks Tableau Sigma Qlikview Excel CI/CD AWS Azure Google Cloud Platform Kubernetes Terraform PostgreSQL MongoDB

What you'll do

  • Build and maintain scalable data ingestion and transformation pipelines connecting engineering systems.
  • Design and evolve the engineering measurement data model to accurately reflect software delivery processes.
  • Drive improvements in data quality, consistency, and definition alignment across multiple sources.
  • Develop metrics and analyses from data, validating them with engineers for real-world accuracy.
  • Engage technology and business stakeholders to ensure measurement outputs meet diverse needs.

What we're looking for

  • Bachelor’s or Master’s degree in a quantitative or technical field
  • Extensive experience with Python, SQL, and Spark for data pipelines
  • Experience building scalable data ingestion and transformation pipelines
  • Strong problem-solving skills to address ambiguous questions
  • Fluency in software engineering and understanding of the SDLC
  • Experience with data visualization tools like Tableau and Qlikview
  • Strong Excel data modeling skills and data quality management

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