Quant Analytics Associate Senior

JPMorganChase • Wilmington, NC

2d

About The Position

If you like turning complex Oracle and AWS data into clear, standardized models and BI dashboards that drive real decisions, this is the team for you. If you enjoy leading the full data-to-insight lifecycle with SQL, Python, Alteryx, and Tableau—and experimenting with AI-enabled automation to improve quality and productivity—this is the team for you. As a Quant Analytics Associate Senior within the Data Analytics Reporting Team (DART) you will lead the end-to-end data-to-insight lifecycle - integrating multi-source data into standardized models and delivering high-impact reporting and BI dashboards (Alteryx/Tableau) that support ConCB Operations Service and Lending.

Requirements

• 6+ years of experience in business data analysis, reporting, and/or data processing.
• Advanced SQL skills and strong understanding of relational data concepts and data design.
• Proficiency in Python for data analysis and automation (e.g., data wrangling, workflow scripting).
• Experience with analytics and BI platforms, including and/or Tableau, SAS, or similar tools.
• Experience working with Oracle and AWS cloud data platforms/services (data storage, processing, or analytics use cases).
• Demonstrated experience building executive dashboards, KPI scorecards, and operational performance reporting.
• Strong written and verbal communication skills with the ability to present to multiple levels of management.
• Proven ability to work independently in a fast-paced environment; highly organized and detail-oriented.
• Bachelor’s degree or relevant experience
• Proficiency in Microsoft Excel, PowerPoint, and Word.

Nice To Haves

• Master’s degree in a quantitative field
• Experience with Alteryx

Responsibilities

• Partner with business stakeholders to gather requirements, define success metrics, prioritize work, and deliver reporting and analytics solutions.
• Design and maintain standardized datasets, data models, and reusable data assets to support operational monitoring and decision-making
• Develop and deliver dashboards, KPI scorecards, and recurring reports using BI tools and curated datasets
• Build and maintain data workflows, extracts, and views, including data preparation for reporting and analytics use cases
• Automate manual processes and recurring reporting through Python-based solutions and repeatable workflows.
• Leverage AI-assisted analytics tools (where appropriate and compliant) to accelerate development, documentation, and issue triage while maintaining required controls.
• Ensure data quality through validations, reconciliations, and documentation of definitions, lineage, and reporting logic
• Provide technical guidance, coaching, and review support to team members; promote best practices and continuous improvement.
• Collaborative, stakeholder-facing role requiring strong ownership, attention to detail, and consistent delivery against timelines.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior