Quant Analytics Sr Associate
About The Position
The Senior Quant Associate is a key member of the Commerce Enablement Analytics team within the broader Data and Analytics organization. The role works closely with Commerce Enablement Product Owners to deliver descriptive, diagnostic, predictive, and prescriptive analytics, with a focus on Controls, Risk, and Regulatory areas. It builds consensus with Product Owners on if, where, when, how, and whom to engage by defining metrics, sourcing data, developing queries, and creating reports. The position translates business needs into long-term data models, improves data quality and reduces redundancy, rationalizes complex normalized data sets for cross-organizational use, and partners with Product, Data Management, Strategy, Technology, and broader D&A teams. It also turns data into insights and compelling presentations for stakeholders and contributes experience in producing, optimizing, and automating recurring reports.
Requirements
- Intermediate knowledge of SQL, Alteryx, and Tableau.
- Bachelor's degree and 3+ years of analytics experience, with knowledge of Adobe Analytics.
- Experience with AWS, Snowflake, Oracle, and SQL databases.
- Ability to explain complex concepts and make them understandable to audiences with varying levels of expertise.
- Intellectual curiosity, eagerness to learn, and an eye for innovation.
- Initiative and ability to complete projects or tasks independently.
- Strong organization and ability to prioritize multiple tasks.
- Good written and oral communication skills.
- Operational business knowledge of processes, data, controls, and technology platforms.
- Familiarity with cloud-based data solutions and tools, including AWS and Snowflake.
Nice To Haves
- Functional industry experience in operations, marketing, credit or risk, technology, or finance.
- Intermediate knowledge of machine learning and Copilot.
- Strong SQL skills, including pulling data with multiple joins, subqueries, and advanced functions in enterprise-scale database environments such as Snowflake and AWS.
- Demonstrated experience with business intelligence and data-wrangling tools such as SAS EG, SAS Viya, Python, Snowflake, and Alteryx.
- Experience with data visualization techniques for analysis and presentation; Tableau is preferred.
- Basic skills with JIRA and Confluence.
- Proficiency in Microsoft Word, Excel, and PowerPoint.
Responsibilities
- Understand and translate business needs into data models that support long-term solutions.
- Create data points using best practices to ensure high data quality and reduce redundancy.
- Rationalize complex normalized data sets to enable easier cross-organizational consumption.
- Collaborate with Product, Data Management, Strategy, Technology, and broader Data and Analytics teams across functional units to understand business requirements and objectives.
- Translate data into meaningful insights and present a compelling story to stakeholders to support decision-making.
- Produce, optimize, and automate recurring reports.
Benefits
- Competitive total rewards package, including base salary determined by role, experience, skill set, and location.
- Eligible roles may receive commission-based pay and/or discretionary incentive compensation in cash and/or forfeitable equity.
- Comprehensive health care coverage.
- On-site health and wellness centers.
- Retirement savings plan.
- Backup childcare.
- Tuition reimbursement.
- Mental health support.
- Financial coaching.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
