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Senior Manager
First Republic Bank
San Francisco, CA, United States
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Overview
First Republic is an ultra-high-touch bank that provides extraordinary client service. We believe that one-on-one interactions build lasting relationships. We move quickly to serve our clients’ needs so that their financial transactions are handled with ease and efficiency. Client trust and security are paramount in our line of business. Ultimately, our goal is unsurpassed client satisfaction which will lead to personal referrals – our number one source of new business. We recognize that our competitive advantage starts with our people and our culture. At First Republic, we work hard and move quickly as a very coordinated team. If you are looking for an opportunity to grow and contribute in a fun, fast-paced environment, First Republic is the place for you. We have exceptional people focused on providing extraordinary service.
The Senior Manager of Data & Analytics will play a crucial role in leading the Data and Analytics team within the Eagle Lending Group. Eagle Lending is leading the bank on how to leverage data and technology to acquire and engage the next generation of First Republic clients. We are looking for someone to create a vision and strategy for how Eagle Lending can leverage data and analytics to deepen client relationships and drive further growth of the business.
Responsibilities
• Develop data and analytics strategy to deepen client relationships and drive further business growth
• Work closely with leaders and stakeholders across product, sales, and marketing to support and implement high-quality, data-driven decisions
• Be a champion for data accuracy and consistent reporting by designing and creating optimal processes and procedures for our growing analytics organization
• Oversee the design and delivery of reports and insights that analyze business functions and key operations and performance metrics
• Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies
• Use both descriptive and predictive modeling to increase and optimize customer experiences, revenue generation, underwriting as well as other business outcomes
• Develop and manage our company’s A/B testing framework and drive towards data-founded conclusions
• Hire and mentor a team of data scientists, data engineers and data analysts to expand the impact of data and drive business insights
Qualifications
• BS or MS in Engineering, Computer Science, Math, Physics, Statistics or related quantitative field
• 8+ years of experience manipulating, processing and extracting value from large, complex datasets
• 2+ years of experience managing and leading data, analytics or business intelligence teams
• Strong SQL skills, ability to perform effective querying involving multiple tables and subqueries
• Programming experience in one or more of the following: Java, Python, R, and/or C, C++
• Advanced Tableau coding skills with a track record of developing visualizations that drive and optimize business outcomes
• Experience and knowledge of statistical modeling techniques: GLM multiple regression, logistic regression, log-linear regression, variable selection, etc.
• Understanding of and experience using analytical concepts and statistical techniques: hypothesis development, designing tests/experiments, analyzing data, drawing conclusions, and developing actionable recommendations for business units
• Excellent written and verbal communication skills for coordinating across technical and non-technical teams