Senior Commercial Card Data Analyst

Next Frontier Capital

Chicago (IL)

On-site

USD 110,000 - 170,000

Full time

14 days+
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Job summary

JPMorgan Chase & Co. in Chicago seeks a Data Analyst for the Commercial Card Business Intelligence team to help develop high-quality data solutions for reporting applications in modern cloud-based technologies.

You will be a core technical contributor delivering scalable data approaches across business functions. This role emphasizes production-grade code, data transformation, and strong SQL/Python/R skills, with experience in Databricks or Trino.

Qualifications

  • 10+ years in analytics, data analysis or BI.
  • 5+ years with SQL, Python, or R transforming data from Databricks or Trino.
  • Experience delivering system design, development, testing, and operations.

Responsibilities

  • Engages stakeholders to propose scalable data approaches for current and future needs.
  • Defines data target state and drives strategy achievement.
  • Develops production-grade code, reviews peers' code.
  • Evaluates new technologies and provides feedback.
  • Executes data solutions and troubleshoots complex problems.
  • Maps end-to-end customer journeys using disparate data sources.
  • Identifies opportunities to automate remediation and improve stability.
  • Facilitates vendor and internal evaluations to drive outcomes.
  • Contributes to data analytic communities of practice.

Skills

SQL
Python
R
Data analysis
Data transformation
Big data
Automation
SDLC
Stakeholder communication
Databricks
Trino

Tools

Tableau
Starburst
Business Objects
Sigma

Job description

JPMorgan Chase & Co. in Chicago seeks a Data Analyst for the Commercial Card Business Intelligence team to help develop high-quality data solutions for reporting applications in modern cloud-based technologies.

You will be a core technical contributor delivering scalable data approaches across business functions. This role emphasizes production-grade code, data transformation, and strong SQL/Python/R skills, with experience in Databricks or Trino.

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