
Quantitative Analyst 2
- USA
- Permanent
- Full-time
- Operate in a direct support relationship to primary customers with the ability to meet requirements with some oversight
- Collaborate with stakeholders to understand business needs and design data solutions that provide targeted insights that are clear, concise, and compelling
- Establish and leverage a balance of business and data expertise to proactively identify business problems that can be solved or enhanced with data, analytics, reporting, and visualizations
- Contribute to a collaborative, inclusive, and high-performance team culture
- Interface with Technical Product Owners to enhance and maintain data marts and ETL processes with the evolving needs of business stakeholders
- When necessary, facilitate faster response times for critical business needs by writing and optimizing complex SQL queries across disparate data sources
- Proactively investigate trends in operational metrics and Key Performance Indicators (KPIs) to identify cause-and-effect relationships between business drivers
- Bachelor's Degree in related field preferred (MIS or Quantitative Disciplines), or combination of relevant professional experience and credentials
- Demonstrated end-to-end ownership of complex and concurrent project engagements, including the development of reporting tools and performance management systems
- Adept at navigating ambiguity—clarifying unclear requests, organizing priorities, and crafting clear, actionable roadmaps that lead to successful outcomes
- Well-versed in data warehousing and architecture; experience designing and implementing scalable, multidimensional, and normalized data models
- Experience in identifying and showcasing statistically significant trends in large & disparate data sets
- Ability to identify and measure key performance indicators and assess how business changes impact those metrics
- Exposure to call center, retail, supply chain, and/or operational analytics is a plus
- Proven ability to write and execute complex SQL queries and manipulate disparate data sources
- Working understanding of best practices for data warehousing architecture and data modeling
- Proficient in Microsoft Office Suite (Word, Excel, Teams, PowerPoint)
- Proficient with data reporting and visualization tools (SSRS, Power BI, Tableau, Spotfire)
- Exposure to statistical analysis techniques (Regression, segmentation, clustering, forecasting, anomaly detection, NLP, ML, AI, Random Forest, Decision Trees)
- Experience with supply chain and operational analytics is a plus