Quant Analytics Associate Senior

Join us for an exciting opportunity to advance your data analytics career and shape strategic business insights.

As a Quant Analytics Associate Senior in the Data Analytics team, you deliver innovative data solutions that empower banker performance and drive business outcomes. You collaborate with stakeholders to create actionable insights and contribute to a culture of continuous improvement.

Job responsibilities

• Leverage data analysis tools and techniques to solve business problems related to banker activity and performance
• Design, develop, and implement advanced Tableau dashboards to communicate complex data insights
• Create and optimize automated workflows using Alteryx for efficient data processing and analysis
• Develop compelling data stories and recommendations for stakeholders using storytelling best practices
• Gather requirements and translate business needs into actionable reporting and visualization solutions
• Stay current with new technologies and methodologies to enhance data visualization capabilities
• Manage projects independently while contributing to team goals and creating executive-level presentations

Required qualifications, capabilities, and skills

• Bachelor's or Master's degree in a quantitative discipline such as business, finance, economics, engineering, statistics, information systems, or mathematics
• Seven years of experience in data analysis and visualization, focusing on Tableau dashboards and Alteryx workflows
• Expert hands-on experience with SQL, Alteryx, and Tableau, including writing complex SQL scripts and automating data processes
• Ability to work directly with stakeholders and contribute to building a robust reporting suite
• Willingness to learn and experiment with new technologies to improve data visualization solutions
• Demonstrated ability to think independently and collaboratively to implement creative solutions
• Attention to detail with a focus on broader business objectives

Preferred qualifications, capabilities, and skills

• Familiarity with modern front-end technologies
• Experience with database or cloud systems such as AWS or Snowflake
• Exposure to data visualization tools such as Power BI
• Knowledge of Python