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JPMorgan Quantitative Analytics Associate - Voice Product 
United States, Delaware, Wilmington 
504295200

14.09.2024

Job Responsibilities:

  • Support & lead partnerships with key Ops stakeholders and Ops Product groups with strong understanding of business drivers, underlying data and processes
  • Support demand mitigation programs by providing data and analytics leadership across the servicing organization
  • Lead development and reporting of Ops performance metrics & KPIs. Use analytical tools such as trend analysis, segmentation, optimization, and other techniques to improve business function performance.
  • Analyze customer interactions and events across a variety of channels (calls, branch, online, mobile) to better understand customer journeys and friction points
  • Contribute to business cases, construct test designs, and identify populations for pilot programs; analyze program performance and derive insights to help inform future customer strategies
  • Prepare and deliver presentations summarizing sharp insights and conclusions, often for executives, in regularly-scheduled analytics meetings chaired by the analyst in this role
  • Support the creation of dashboards and visualizations to measure the impact of implemented products and provide management with self-service tools to explore and report on current trends of key metrics

Required qualifications, capabilities, and skills:

  • 3+ years of related experience with SQL and Alteryx
  • Bachelor's degree in a quantitative or related field
  • Experience delivering analytics solutions following an Agile (Scrum or Kanban) methodology
  • Previous experience with MS Excel and PowerPoint
  • Familiarity with AWS, data mining, statistical modeling, machine learning and other advanced analytics methods
  • Able to communicate effectively with Senior leaders to enable collaboration, decision-making, and transparency, with great presentation skills

Preferred qualifications, capabilities, and skills

  • Hands-on experience with standard data analytics tools and technologies such as R, Python, Tableau, Hadoop, Hive, Spark, Impala, Sqoop, RDBMS, Trifacta
  • Hands-on experience writing code and automating processes to source, transform and analyze data from multiple sources including structured and unstructured data preferred
  • Graduate degree in a related field preferred