Quant Analytics Associate - SQL, Tableau, Alteryx

5 years

0 Lacs

Posted:1 week ago| Platform: SimplyHired logo

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On-site

Job Type

Full Time

Job Description

Join us to elevate your career in business intelligence and analytics.


As a Quant Analytics Associate within J.P. Morgan, you will design and implement automated reporting solutions to boost efficiency and reduce risk. You will work closely with stakeholders to provide high-quality insights and support the firm's business objectives.

Job Responsibilities

  • Analyze business needs and propose automated reporting solutions.
  • Design, build, and implement solutions with quality control.
  • Generate regular and special reports, recommending changes for efficiency.
  • Conduct business process reviews and develop automated solutions.
  • Maintain business process tools and ensure compliance.
  • Gather, input, and manipulate data for analysis and reporting.
  • Provide actionable business insights through analysis.
  • Validate data accuracy and assist with report preparation.
  • Articulate analysis results in reports and presentations.

Required Qualifications, Capabilities, and Skills

  • 5+ years of experience in business analysis and BI solutions development.
  • Bachelor’s/Master’s degree in Accounting, Finance, Business Administration, Statistics, Mathematics, Computer Science, MIS, or a related discipline with 5+ years of experience.
  • Excellent command of SQL and understanding of RDBMS systems.
  • Proficiency in reporting tools like Tableau, QlikView, and Business Objects.
  • 3+ years of experience with data transformation tools like Alteryx and Python.
  • Advanced skills in Word, PowerPoint, and Excel.
  • Strong written and verbal communication skills with an ability to work independently and share best practices.
  • Detail-oriented with good judgment and resourcefulness.

Preferred Qualifications, Capabilities, and Skills

  • Experience with big data transformation tools like Spark and Scala.
  • Knowledge of Chase Auto Finance systems.
  • In-depth knowledge of consumer and wholesale banking data.

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