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CAO - Data Insights Analyst - Senior Associate at JPMorgan Chase Bank, N.A.

Posted in General Business 30+ days ago.

This job brought to you by eQuest

Type: Full-Time
Location: Jersey City, New Jersey





Job Description:

About the Team

The CAO Data Strategy, Governance and Business Intelligence team is responsible for overall data strategy and governance across CAO functions, in an effort to drive new business insights, enhance analytics, and streamline reporting.

Job Description

The team is looking for a highly motivated Data Insights Analyst who can digest and understand large complex datasets and turn that raw data into actionable Insights for the business and our senior leaders. Must have a knack for designing efficient data models to rationalize such dispersed data sets as well as be able to understand the inner workings of the different CAO functions and their business problems. Some expected activities include:


  • Participate in Data Visualization Tool development on end-to-end basis, initiate and drive projects to completion in an agile environment
  • Build and deploy rapid prototype solutions to demonstrate ideas and prove concepts.
  • Generate deep insights through the analysis of data and understanding of business processes and turn them into actionable recommendations.
  • Become a subject matter expert and trusted advisor in the analytics discipline. Identify areas for business improvement/optimization using data.
  • Build strong relationships across Lines of Business, CAO, and with key stakeholders

Qualifications

  • Bachelor's degree in Computer Science, Finance or related area; MBA a plus, but not required
  • 5+ years' experience working as a data analyst, dashboard designer or similar role
  • Strong MS Office skills (advanced PowerPoint, Excel, Access)
  • Demonstrable expertise in one or more visualization development tool (Qlikview, etc.), including scripting, row level section access, set analysis, custom configuration/display condition, performance optimization, etc.
  • Understand best practices related to data acquisition e.g.: connecting to dedicated SOR/ADS, ODBC, API call configurations, etc.
  • Experience with data modeling, SQL and comfortable with manipulating large, complex and disparate data sets.
  • Experience with UI/UX Design. Interest in delivering elegant and functional visualizations to make a noticeable impact for business
  • Experience with Tableau, Alteryx, Cognos or other BI/Data analytics tool a plus
  • Experience with Big Data, Data Science, Python, R a plus
  • Comfortable with ambiguity and applying creativity to solve complex problems and investigating correlations
  • Demonstrated verbal, written, and presentation skills
  • Strong organizational skills

JPMorgan Chase is an equal opportunity and affirmative action employer Disability/Veteran. JPMorgan Chase & Co., one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

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. In accordance with applicable law, we make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as any mental health or physical disability needs.

Equal Opportunity Employer/Disability/Veterans





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