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J.P. Morgan
Data Visualization Senior Associate - Home Lending Data & AnalyticsJ.P. Morgan • Jacksonville, Florida, US
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Data Visualization Senior Associate - Home Lending Data & Analytics

Data Visualization Senior Associate - Home Lending Data & Analytics

J.P. Morgan • Jacksonville, Florida, US
13 days ago
Job type
  • Full-time
Job description

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role.

JOB DESCRIPTION

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.

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

  • 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.

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.

ABOUT US

Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Equal Opportunity Employer/Disability/Veterans

ABOUT THE TEAM

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.

The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.

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Data Visualization Senior Associate - Home Lending Data & Analytics • Jacksonville, Florida, US

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