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Salary
$203k – $377k per year (Estimated)
Location
In office (New York)
Seniority
Staff · 5+ years exp
Overview
Company
Impact
Profile match
JPMorganChase is the largest bank in the United States by assets and one of the most systemically important financial institutions in the world, with a lineage running back through more than a thousand predecessor firms to the 1799 founding of the Bank of the Manhattan Company. It combines a dominant investment bank and markets business with Chase, the largest retail banking franchise in America, plus commercial banking and asset and wealth management. Headquartered in New York, the group is unusual among banks for the scale of its technology spending, running one of the largest engineering organisations of any financial institution and deploying its own internal AI platform across the firm.

Drive the future of data-driven decision making-join us to transform raw information into actionable insights that power business innovation. Be a part of the data and analytics team within JPMorgan Wealth Management (JPMWM) Finance that helps grow the business by providing actionable insights. Our group partners with finance teams and businesses stakeholders to provide reporting that identifies growth and efficiency opportunities to improve team and business performance.

As a Data Visualization Lead on the JPMWM Finance team, you will help inform decisions by providing insights and opportunities through high quality reporting and dashboard development. You will locate, query, and integrate relevant data from various systems. You’ll organize data and communicate analytical results to support growth, process improvements, and new initiatives across the business. Collaboration with cross-functional teams will be key to your success.

Job responsibilities

  • Query and extract data from various sources for use in dashboards and reports.
  • Lead the design, development, testing, and implementation of data visualization projects to support business objectives.
  • Collaborate with data analysts, data scientists, dashboard developers, and business stakeholders to understand data requirements and translate them into effective visual solutions.
  • Develop and maintain dashboards, reports, and interactive visualizations using tools such as Tableau.
  • Unlock foundational insights to help grow the business and help it operate more efficiently.
  • Ensure data accuracy and integrity by implementing best practices in data visualization and data management.
  • Develop business focused reporting that enables the business to understand how they are performing.
  • Stay current with industry trends and emerging technologies in data visualization and analytics.
  • Communicate complex data insights in a clear and concise manner to various audiences, including senior management.
  • Work closely with IT and data engineering teams to ensure seamless integration of data sources and visualization tools.

Required qualifications, capabilities, and skills

  • Bachelor’s degree in data science, Computer Science, Information Systems, Statistics, or a related field.
  • 5+ years of relevant experience in SQL, developing and managing advanced BI dashboards involving data visualization and data-driven analysis.
  • Strong Tableau dashboard design, development and server deployment knowledge.
  • Robust Alteryx workflows development and server deployment knowledge.
  • Experience writing complex SQL Queries for analyzing huge data sets.
  • Strong understanding of testing methodologies and experience with test automation tools and frameworks.
  • Proficiency using programming tools such as Python, R or SAS.
  • Solution-oriented problem solver with strong collaboration skills.
  • Strong written and verbal communication skills.

Preferred qualifications, capabilities, and skills

  • Knowledge of Jira and Agile practices
  • Master’s degree in a technical field.
  • Certifications in data visualization tools (e.g., Tableau Desktop Certified Professional, Alteryx Designer Core,).
  • Strong MS Office skills (Excel, PowerPoint).
  • Familiarity with machine learning and AI-driven data analytics and Databrick is a plus.
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