Marketing Technology & Decision Science - Senior Associate

Help us turn customer needs into smarter, more relevant marketing. In this role, you will uncover high-value audience opportunities and translate complex data into clear, actionable direction for campaigns. You will partner closely with marketing and technology teams to prototype solutions that improve targeting, measurement, and performance. Your work will directly influence how we reach and serve our Small Business and Insurance customers.
As a Senior Associate in Transformation Analytics, you will drive marketing analytics outcomes by identifying audience opportunities, advancing segmentation, and improving campaign performance across Chase Small Business and Insurance. You will collaborate with stakeholders to discover data, design analyses, and deliver prototypes that power marketing execution and measurement. You will help us scale repeatable analytics workflows through automation and modern analytical approaches. You will communicate insights clearly to help teams make confident, data-informed decisions.
Job responsibilities
Lead the development and refinement of targeted marketing audience segments using internal and external data sources
Optimize audience selection to support Chase Small Business and Insurance products and services
Drive analytical optimization across the marketing lifecycle, including opportunity identification, targeting, testing, reporting, and insights generation
Design, build, and iterate automation and artificial intelligence-enabled solutions to scale analytics workflows (such as segment creation, audience quality checks, and campaign measurement)
Partner with marketing, analytics, and technology teams to manage delivery plans, prioritize work, and guide experimentation
Collaborate with modeling and execution teams to deliver scalable audience solutions and campaign analytics
Apply advanced analytics tools and next-generation analytical applications to improve decision-making and operational efficiency
Identify data gaps, recommend data acquisition needs, and support the enablement of critical data assets
Investigate complex analytical issues, determine root causes, and recommend clear remediation actions
Required qualifications, capabilities, and skills
Bachelor’s degree in a related discipline and 3+ years of experience in marketing campaign development and analytics
3+ years of experience writing complex Structured Query Language (SQL) for dimensional data models
Proficiency in at least one data analysis language (Python, R, or SAS)
Experience delivering campaign analytics and insights (test design, conversion or response reporting, incremental analysis, profiling, and segmentation analysis)
Experience working with cloud-based data ecosystems (for example, Amazon Web Services, Microsoft Azure, Google Cloud Platform, Snowflake, or Databricks)
Experience with data warehouse concepts and analytical data structures
Experience using data preparation and wrangling tools (for example, Alteryx, Trifacta, Pentaho, or Altair)
Experience building dashboards or reporting in tools such as Tableau, Microsoft Power BI, or Qlik
Experience building or prototyping automation or artificial intelligence-driven decision support for marketing execution
Ability to translate business strategy into tactical analytical plans and execution
Strong written and verbal communication skills, including presenting complex findings to senior stakeholders
Preferred qualifications, capabilities, and skills
Master’s degree in a related field
Experience supporting marketing for small business and/or insurance products
Experience building or prototyping automation or artificial intelligence-driven decision support for marketing execution
Familiarity with approved developer productivity tools such as GitHub Copilot and Cortex
Consulting-oriented approach with demonstrated ability to influence cross-functional partners
Experience partnering closely with technology teams to move prototypes toward scalable solutions
Demonstrated ability to manage multiple initiatives and stakeholders in a high-visibility environment