Drive the future of data-driven decision making—join us to transform raw information into actionable insights that power business innovation.

As a Quant Analyst on the Commerce Enablement Analytics Team, you will work closely with Product Owners to deliver insights in terms of descriptive, diagnostic, predictive, and prescriptive analytics with a focus on Controls, Risk, and Regulatory areas.  You’ll 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. 

You’ll need to combine analytic skills with specific domain knowledge to make data actionable and allow for ease of consumption. You’ll translate between analytic and non-analytic groups as well as facilitate holistic, cross-functional learning. 

Job Responsibilities

Understand and translate business needs into data models supporting long-term solutionsCreate data points using best practices to ensure high data quality and reduced redundancyRationalize complex normalized data sets allowing for ease of cross org consumptionPartner closely and collaborate with Product teams, Data management teams, Strategy teams, Technology Teams and broader D&A organization resources across multiple functional units to understand business requirements and objectivesTranslate data into meaningful insights and present a compelling story to stakeholders for decision makingBring in experience in the production, optimization and automation of recurrent reportsCollaborate, learn, teach and disseminate knowledge across the Data & Analytics community.

Required Qualifications, Skills, and Capabilities

BS Degree in quantitative or related field

3+ years of work experience across broad range of analytics technologies and tools in a big data environment 

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/tasks independentlyHighly organized and able to impact multiple tasksGood written and oral communication skills Operational business knowledge of processes, data, controls, and technology platformsKnowledge of Cloud (AWS, Snowflake) based data solutions and tools

Preferred Qualifications, Skills, and Capabilities

Basic skills with JIRA, Confluence, and Adobe Analytics

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.)Experience with business intelligence and data wrangling tools such as SAS EG, SAS Viya, Python, Snowflake and Alteryx is keyCompetent using visualization techniques for data analysis and presentation (Tableau preferred)