Quant Analytics (SQL, SAS, Python, Tableau) - Associate Sr.

The Consumer & Business Banking Deposit Product Management group is responsible for all checking, savings, time deposit, and debit products. The Deposit Services and Fees team sets the pricing and fees across the Consumer and Business deposit product suite and seeks ways to optimize Non-Interest Revenue while creating customer friendly results.

Job Summary:

Product Analyst II (Associate) is a critical player on the Deposit Services and Fees Insights team and will be responsible for best-in-class development, and ongoing delivery of data analytics. The desired candidate will be highly motivated with an inquisitive mind and use their exceptional data mining abilities to pull data that can be used to drive deposit services and fees strategy and deposit portfolio management. They will need to stay abreast of direct competitor and industry trends.

Job responsibilities:
 Leading the development and delivery of various recurring analytics and reporting
 Pull data from internal data sources (via SQL), assess and maintain data and process integrity
 Understand nuances in the data and processes, while effectively communicating those to partners
 Communicate analytics findings to senior leaders through data visualization and storytelling
 Closely partner with strategy leads on the team as well as Finance, Risk, and Product partners
 Stay informed of competitor changes to deposit products and fee structure, and broader industry trends
 Own ad-hoc analysis to determine impacts of potential product or fee changes

Required qualifications, capabilities, and skills:
 3+ years in data & analytics, product management, or similar function
 Bachelors degree in a quantitative or related field
 Mastery level skills in Excel, PowerPoint, and SQL
 Demonstrate a confidence and passion around using data and analytics
 Ability to thrive in a fast-paced environment
 Strong verbal and written communication and presentation skills
 Proven ability to query large amounts of data to solve highly complex problems

(optional) Preferred qualifications, capabilities, and skills:
 Experience with other analytics languages or tools such as SAS, Python, Tableau, Teradata, or Alteryx
 Background in financial services or similar industry,