Data and Analytics - Quant Analytics Senior Associate

Build holistic insights by integrating customer, account, digital, financial, and operational data sets to inform strategic decision-making. 

Import, clean, transform, and validate data from multiple sources to prepare for advanced analytics and modeling. 

Scope, implement, and track new features and enhancements within the collections journey to optimize customer experience and operational efficiency. 

Identify customer interactions and events across various channels to gain a deeper understanding of customer journeys and pinpoint friction points. 

Utilize a range of analytical and statistical tools—including Alteryx, Excel, SQL, Python, and Tableau—to analyze and interpret trends and patterns in complex data sets. 

Support the creation and delivery of presentations that summarize key insights and actionable conclusions, often tailored for executive audiences. 

Collaborate with business stakeholders to translate strategic objectives into actionable analytics initiatives and measurement frameworks and lead cross-functional projects, coordinating with product, technology, and business teams to deliver impactful analytics solutions. 

Bachelor’s degree required, with a strong academic background and at least 4 years of experience building analytical solutions that integrate multiple data inputs from diverse sources, particularly in Marketing, Customer Journey, Operations, or Finance; Minimum of 2 years of hands-on experience in data analysis. 

Demonstrated technical expertise in data modeling, data analysis, and segmentation techniques. 

Proficient in Business Intelligence and analytical tools such as Alteryx and Tableau. 

Self-sufficient in querying and extracting data from enterprise databases and data lakes, including platforms such as Snowflake, GOS, and AWS Athena. 

Analytical rigor, with the ability to synthesize information across multiple platforms, systems, and organizations, and deliver superior data analysis.