JPMorgan Marketing Automation Platforms - Quant Analytics Senior Associate 

United States, Delaware, Wilmington 

741362299

As a Quant Analytics Senior Associate, within the Marketing Automation Platform team, you will provide support and will require an understanding of our platforms, capabilities, data assets, and analytic tools in support of building the vision for the future.

Job Responsibilities:

• Build the data infrastructure and marketing taxonomy that ensures Chase marketers can easily reach current and future customers with relevant messaging, where and when they choose to engage
• Be the go-to contact for all data & analytics solutions for marketing workflow and campaign management
• Establish and measure the OKRs that reflect the Marketer experience through the end-to-end view of the platforms they leverage
• Deliver best-in-class business intelligence through dashboards and executive reporting to the Marketing Automation Platforms and Line of Business leadership
• Identify business case opportunities that fuel prioritization and investment for the marketing campaign platform
• Communicate effectively with product and data owners to identify and drive forward a data driven analytical roadmap

Required Qualifications, Capabilities, and Skills:

• Bachelor’s degree is required, with Data Science, Mathematics, Statistics, Econometrics, Engineering, MIS, and/or Finance
• 3+ years leveraging data visualization tools for data exploration and marketing performance evaluation
• Experience in querying big data platforms and SAS/SQL
• Comfort building and managing relationships with both analytics and business stakeholders and translating numbers into an actionable story for our leaders
• Experience with best-in-class web analytic tools (Google Analytics, Adobe/Omniture Insight/Visual Sciences, Webtrends, CoreMetrics, etc.)

Preferred Qualification, Capabilities, and Skills:

• Bachelor’s degree is required with Data related fields preferred
• Financial services preferred
• Tableau, Teradata, AWS, & Snowflake preferred