JPMorgan Quantitative Analytics Associate - Voice Product 

United States, Delaware, Wilmington 

504295200

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
• Bachelor's degree in a quantitative or related field or Graduate degree in a related field preferred
• Experience delivering analytics solutions following an Agile (Scrum or Kanban) methodology
• Hands-on experience with standard data analytics tools and technologies including SQL and Alteryx
• Previous experience with MS Excel and PowerPoint
• Familiarity with AWS, data mining, statistical modeling, machine learning and other advanced analytics methods
• Hands-on experience writing code and automating processes to source, transform and analyze data from multiple sources including structured and unstructured data preferred
• 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)

*** Relocation assistance is not available for this role.