Quant Analytics: Marketing Audiences & Data Insights

JP Morgan Chase; Plano (TX); On-site; USD 90,000 - 130,000; Full time

Job summary

JP Morgan Chase is seeking an Audience Management professional to partner with business units to create audiences for Marketing & Servicing campaigns across channels, including owned and paid media. You will define, size, and execute audiences while collaborating with IT and analytics teams to improve campaign performance.

Responsibilities include developing customer attributes, validating data extracts, mentoring junior staff, and driving global process improvements to increase efficiency.

Qualifications

• Minimum education: Master's degree plus 1 year of relevant experience or Bachelor's degree plus 3 years of relevant experience.
• Fields of study include Business Analytics, Statistics, Mathematics, Information Systems, Computer Science or related.
• Experience with data extraction, transformation, and quality checks across multiple data sources.

Responsibilities

• Define, size, and execute audiences for multi-channel campaigns.
• Collaborate with IT and business partners to improve campaign performance.
• Develop and validate customer attributes and data elements for insights.
• Mentor junior Audience Management resources and participate in code reviews.
• Produce data validations and monitor data quality across campaigns.

Skills

Audience segmentation

Data profiling

ETL processes

Education

Master's degree in Business Analytics/Statistics/Math/IS/CS

Bachelor's degree in Business Analytics/Statistics/Math/IS/CS

Tools

SAS

SQL

PuTTY

Bash scripting

db2cli

sqlplus

bteq

Job description

JP Morgan Chase is seeking an Audience Management professional to partner with business units to create audiences for Marketing & Servicing campaigns across channels, including owned and paid media. You will define, size, and execute audiences while collaborating with IT and analytics teams to improve campaign performance.

Responsibilities include developing customer attributes, validating data extracts, mentoring junior staff, and driving global process improvements to increase efficiency.