JPMorgan Service Product Analytics - Quant Senior Associate 

United States, Delaware, Wilmington 

336957619

Job Responsibilities:

• Support and lead partnerships with key Area Product Owners and Product groups with strong understanding of the business and underlying data and processes
• Support demand mitigation programs by providing data and analytics leadership across the servicing organization
• Lead development and reporting of operational performance metrics and KPI's, using 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 to better understand customer journeys and friction points
• Contribute to business cases, construct test designs, and identify populations for pilot programs and analyze program performance and derive insights to help inform future customer strategies
• Prepare and deliver presentations summarizing sharp insights and conclusions, often for executives
• Support the creation of dashboards and visualizations to measure the impact of implemented products and provide management with self-service tools to explore and leverage enterprise data to develop the right automated data solutions using a mix of customer, account, digital, telephony, financial and operational data

Required Qualifications, Capabilities, and Skills:

• 3+ years of related experience; Bachelor's degree in a quantitative or related field
• Proficiency in SQL for data querying and manipulation
• Hands-on experience with standard data analytics tools and technologies, such as (SQL, R, Python, Tableau, Alteryx, Hadoop, Hive, Spark, Impala, Sqoop, RDBMS, Trifacta)
• Experience delivering analytics solutions following an Agile (Scrum or Kanban) methodology
• Hands-on experience writing code and automating processes to source, transform and analyze data
• Familiarity with AWS, data mining, statistical modeling, machine learning and other advanced analytics methods

Preferred Qualifications, Capabilities, and Skills:

• Familiarity with Cloud technologies such as Snowflake a plus
• Analyze data from multiple sources including structured and unstructured data preferred
• Graduate degree in a related field preferred