Lead Solutions Analyst, Data Analysis

JPMorgan Chase

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Quick summary

Work type
On-site
Location
Plano, TXWilmington, DE
Employment
Full-time
Posted
48 days ago
Freshness
Confirmed live today

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Salary context

How this pay compares to similar roles

Similar $152k
$107k $193k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $126,800–$178,000.

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 1226 open roles on FindRole.

Listed pay typically runs $156,750–$215,000 across 5 roles with salary data.

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At a glance

TL;DR · Lead Solutions Analyst, Data Analysis

As a Lead Solutions Analyst - Data Analysis within the Corporate Sector - Corporate Technology team, you will drive technical program delivery by bridging the gap between product owners, business units, operations, and software developers. You will lead the elicitation, documentation, and validation of business and data flow requirements while modeling the design and implementation of technical solutions. Your daily work involves utilizing advanced data analytics techniques to extract insights from large datasets, navigating ambiguity, and mentoring team members in technical writing. You must demonstrate expertise in data analysis, data modeling, and major data visualization platforms. The role requires practical experience with AI tools and AI/ML models. Preferred skills include Python, Databricks, and Data Engineering within a financial industry context to solve complex technical problems.

What you'll do

  • Elicit, document, and validate business and data flow requirements to ensure technical feasibility.
  • Model the design and implementation of technical solutions for seamless integration with existing systems.
  • Use advanced data analytics techniques to extract insights from large, diverse datasets.
  • Translate complex business requirements into well-structured and technically feasible solutions.
  • Provide strategic guidance on industry trends, emerging technologies, and best practices.
  • Mentor team members in technical writing and analytical reasoning skills.
  • Manage project dependencies and navigate ambiguity in complex technical programs.

What we're looking for

  • 5+ years of experience in solutions analysis, data modelling, and technical program delivery in the financial industry.
  • Expertise in data analysis and data applications, including hands-on experience with major data visualization platforms.
  • Advanced knowledge of data analytics techniques for developing and interpreting models, diagrams, and data-driven insights.
  • Proven ability to apply technical fluency in current platforms, software tools, and technologies to drive innovative solutions.
  • Strong track record of leading through change, navigating ambiguity, and managing dependencies in complex projects.
  • Working knowledge of AI/ML models and practical experience with AI tools.
  • Financial industry experience (preferred).
  • Knowledge of Python, Databricks, and Data Engineering (preferred).

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