Data Visualization Senior Associate – Home Lending Data & Analytics

JPMorgan Chase & Co.•Jacksonville, FL

10d

About The Position

You can shape how leaders make decisions by turning complex data into intuitive stories and scalable analytical products. In this role, you will blend visualization expertise with modern data engineering and Python application development to help the Home Lending business move faster with confidence. You will partner closely with stakeholders, contribute to a collaborative team culture, and deliver solutions you can be proud of. As a Data Visualization Senior Associate at JPMorganChase within Home Lending Data & Analytics, you will design dashboards, reports, and Python-based analytics apps that transform complex home lending data into clear, actionable insights. In this role, you’ll blend visualization expertise with modern data engineering and Python development to deliver scalable, web-based analytical solutions that empower leaders to make confident decisions. You’ll collaborate closely with stakeholders, translate business needs into effective data models and visual narratives, and help modernize reporting for greater speed, quality, and consistency. Your toolkit will include Power BI, Tableau, Python, SQL, Snowflake, and Amazon Athena, applying strong engineering practices to deliver solutions you can be proud of.

Requirements

Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field (or equivalent practical experience).
Formal training or certification on software engineering concepts and 3+ years applied experience.
3+ years of experience in business intelligence development, data analytics, or a related field.
Hands-on experience building dashboards and reports in Power BI and Tableau.
Advanced Python proficiency, including building data-driven web applications using Dash, Streamlit, Flask, or Django.
Advanced SQL skills, including data modeling and query optimization.
Experience with cloud data platforms, including Snowflake and Amazon Athena.
Proficiency with Git, GitHub, and Visual Studio Code in a collaborative development environment.
Strong analytical, problem-solving, and communication skills, with the ability to work effectively with both technical and non-technical partners.

Nice To Haves

Experience with continuous integration and continuous delivery pipelines and modern engineering operations practices.
Experience applying artificial intelligence techniques in dashboards, including predictive modeling, trend analysis, or anomaly detection.
Familiarity with data governance, data quality, security, and compliance best practices.
Experience using Python data libraries such as pandas, polars, and NumPy to work with large data frames.
Familiarity with SharePoint and Jira.

Responsibilities

Design, develop, and maintain interactive dashboards and reports using Power BI and Tableau.
Transition reporting use cases toward Python-based web applications for business intelligence and data visualization.
Build, optimize, and automate data pipelines and data transformation processes using Python and SQL.
Develop custom web-based analytics solutions using Python frameworks such as Dash, Streamlit, or Flask, integrating with enterprise data sources.
Partner with business stakeholders to gather requirements, translate needs into technical solutions, and deliver actionable insights.
Write, optimize, and troubleshoot complex SQL queries for data extraction, transformation, and analysis.
Use Git, GitHub, and Visual Studio Code to support version control, collaboration, and high-quality delivery.
Ensure data accuracy, integrity, and appropriate data handling controls across reporting and analytics solutions.
Document technical designs, data models, and operational processes to support ongoing maintenance and knowledge sharing.