Quantitative Analyst 2

Candidates should possess a Bachelor's Degree in a related field such as MIS or Quantitative Disciplines, or an equivalent combination of relevant professional experience and credentials. Demonstrated experience in end-to-end project ownership, including the development of reporting tools and performance management systems, is required. The role also requires adeptness at navigating ambiguity, clarifying requests, organizing priorities, and crafting clear roadmaps. Proficiency in data warehousing and architecture, including the design and implementation of scalable data models, is necessary. Candidates must be able to identify and showcase statistically significant trends in large datasets, measure key performance indicators, and assess the impact of business changes on those metrics. Technical skills include proven ability to write and execute complex SQL queries, manipulate disparate data sources, and proficiency with data reporting and visualization tools like SSRS, Power BI, Tableau, or Spotfire. A working understanding of data warehousing architecture best practices and exposure to statistical analysis techniques are also required.