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