Data Visualization Senior Associate – Home Lending Data & Analytics

You can shape how leaders make decisions by turning complex data into intuitive stories and scalable analytical 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 this role youll blend visualization expertise with modern data engineering and Python development to deliver scalable web-based analytical solutions that empower leaders to make confident decisions. Youll 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.

Job 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.

Required qualifications capabilities and skills

• Bachelors 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.

Preferred qualifications capabilities and skills

• 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.