Harness your technical and strategic expertise to shape innovative client solutions and bridge product capabilities with real-world challenges! Chase is undertaking an ambitious customer-focused agenda and investing in innovative ways to deepen customer engagement by connecting the dots on behaviors and creating seamless experiences. 

As a Quant Analytics Associate on the Commerce Enablement Controls Analytics team, you will work closely with Product Owners and leads to deliver insights in terms of descriptive, diagnostic, predictive, and prescriptive analytics. You will strive to build consensus with Product Owners on if, where, when, how, and whom to drive customer engagement by defining metrics, sourcing data, developing queries, and creating reports.

Job responsibilities

Understand and translate business needs into data models supporting long-term solutionsSynthesize data from a number of different sources to identify meaningful trends and patternsCreate data points using best practices to ensure high data quality and reduced redundancyRationalize complex normalized data sets allowing for ease of cross-org consumptionWork directly with business partners across multiple functional organizations to evaluate needs, develop, and implement end-to-end solutions aligned with business objectives.Translate data into meaningful insights and present a compelling story to stakeholders for decision makingLeverage expertise in in the production, optimization and automation of recurrent reports 

Required qualifications, capabilities and skills:

Bachelor's degree in a quantitative, analytical, or related field and 3 years of experience in an advanced analytics role Intermediate knowledge of SQL, Alteryx and TableauExperience with Hadoop, Teradata, Oracle and SQL DBsAdept at explaining and converting complex concepts into digestible information to be consumed by audiences of varying levels of expertiseIntellectually curious and eager to learn new things with an eye for innovationAble to demonstrate initiative and complete projects and tasks independentlyHighly organized and able to prioritize multiple tasksGood written and oral communication skills Operational business knowledge of processes, data, controls, and technology platforms

Preferred qualifications, capabilities and skills:

Functional industry experience in operations, marketing, credit/risk, technology or financeIntermediate knowledge of Machine LearningStrong SQL skills with the ability to pull data using multiple joins, sub-queries, and advanced functions in an enterprise-scale database environment (Teradata, Hadoop, AWS, etc.)Demonstrated experience with business intelligence and data wrangling tools such as SAS EG, SAS Viya, Python, Snowflake and Alteryx is keyExperience with visualization techniques for data analysis and presentation (Tableau preferred)Adobe Analytics knowledge