Data Operations

JPMorgan Chase

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
Newark, DE
Posted
11 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

How this pay compares to similar roles

Similar $169k
$115k most similar roles pay here $215k

This listing doesn't post a salary. Most similar roles pay $132,684–$205,350.

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 1117 open roles on FindRole.

Listed pay typically runs $186,160–$215,000 across 7 roles with salary data.

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View all roles at JPMorgan Chase

At a glance

TL;DR · Data Operations

The Data Operations role involves driving strategic initiatives by identifying, analyzing, and leading data-driven projects while developing compelling business cases with detailed metrics. You will perform in-depth analysis, including root cause assessments and data mapping to support process improvements and automation opportunities. The daily work involves enhancing data management through Business Intelligence tools and advanced analytics methodologies like AI, machine learning, and natural language processing to optimize reporting and visualization. You will collaborate across functions like finance and compliance to transform manual tasks into automated solutions. Technical requirements include designing ETL workflows for trade analysis using SQL, Python, and Alteryx; creating REST APIs; and building visualizations in Tableau or Microsoft Excel. Additionally, you will extract insights from unstructured text and manage projects using Agile methodologies and Jira to ensure high-quality deliverables and continuous improvement.

What you'll do

  • Lead data-driven projects by developing business cases supported by detailed metrics and insights.
  • Perform root cause assessments and data mapping to identify process improvement and automation opportunities.
  • Utilize BI tools and advanced analytics like AI and machine learning to automate reporting and visualization.
  • Design and develop ETL workflows for data cleansing, transformation, and centralization from multiple sources.
  • Create and integrate REST APIs to enable seamless data exchange across different platforms.
  • Build visualizations and dashboards in Tableau or Excel to report KPIs to senior management.
  • Extract actionable insights from unstructured text to inform business strategies and monitor compliance.
  • Manage data analytics projects using Agile methodologies and Jira to ensure timely delivery.

What we're looking for

  • Master's degree in a relevant field plus three years of experience in the job offered or related technical roles.
  • Bachelor's degree in a relevant field plus five years of experience in the job offered or related technical roles.
  • Two years of experience designing and developing ETL workflows using SQL, Python, Alteryx, or similar tools.
  • Two years of experience creating and integrating REST APIs to enable seamless data exchange across platforms.
  • Two years of experience building visualizations for KPI reporting using Microsoft Excel, Tableau, or Python.
  • Two years of experience extracting insights from unstructured text and presenting metrics through charts and documentation.
  • Two years of experience managing data analytics projects using Agile methodologies and Jira.
  • Proficiency in advanced analytics methodologies including AI, machine learning, and natural language processing.

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