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Silicon Valley Bank serves some of the most innovative companies in the world. Our clients are forward thinkers. True believers. Optimists. Inspired by them, we're changing the face of banking. Our clients have redefined products in many areas of the global economy, and every day we power their ability to do so. And we need leaders with the same can-do attitude as our clients. We're looking for creative thinkers who want to challenge the status quo and create a truly seamless digital banking experience on a global scale.
This is a newly created role. You understand and connect the dots to different aspects of analytics to support SVB's Product strategy. You bring business understanding of data, analytics for decision making, statistical analysis, product performance metric reporting as well as reporting tool (Tableau) design and development. You will become an analytical subject matter expert for product performance and client insights. You will provide analytics that support revenue generation by applying product knowledge, statistics and/or machine learning, and various analytic techniques. You'll be responsible for identifying and exploring relevant data sources, building full business understanding of the data, developing algorithms, and maintaining statistical and deposit forecast models. As part of our collaborative teams, you will help to produce actionable results by working with product managers and other analytics teammates.
Produce essential analytics that enable product decisions to maximize revenue (e.g., pricing optimization and segmentation), support product initiatives (i.e., analytics that support agile initiative sizing or adjustments when needed), and provide deep understanding of rising trends
Support product advisors and sales teams by identifying potential risks and opportunities via data-driven analytics
Automate recurring reporting and empower partners to self-serve for regular data and analysis needs
Develop efficient and scalable processes by leveraging data skills and visualization tools (Tableau, etc.) that empower Product Management team and partners to self-serve for regular data and analysis needs
Research, analyze, and interpret large data sets to develop data-driven insights
Partner with teams such as product analytic specialists, product managers, business managers, and other analytical teammates to understand data and resolve business problems
Translate business issues into data problems and use analytics to provide actionable solutions/recommendations that support overall product strateg y
Exercise creativity, critical thinking, analytical thinking, and collaboration to solve problem s
Develop spreadsheet and/or statistical models using a combination of banking and product knowledge, statistical techniques, and machine learning/optimization techniques
Assist in querying data and creating metrics for product performance monitoring and analysis
Lead and support data needs for special projects
Participate in strategic planning of projects and initiatives
Apply sound judgment in determining how to collect, interpret, transform, and analyze data to produce meaningful results
Routinely recommend analytical solutions, data mining approaches, and scenario analysis to solve business problems
Execute tasks independently and exercises judgment based on the analysis of multiple resources
Strong data knowledge with the ability to distill and synthesize various data into cohesive insights, analysis, and/or recommendation.
Knowledge of statistical modeling methods, machine learning algorithms, and various advanced analytic techniques.
Knowledge of bank products (e.g., credit cards, payments, deposits, and cash management products used by business and commercial clients) is preferred
Required and Preferred Skills:
Collaborative work style and approach to problem solving
Strong analytical and problem-solving skills
Knowledgeable in data science project methodologies
Strong Data analysis Skills
Thought Leadership skills
Process management skills
Effective time management and organizational skills
Strong written and verbal communication skills
Flexibility to work and manage variety of projects
Strong attention to detail
Tableau building knowledge and strong SQL experience, also SAS, R, and BOXI skills
Some UX design skill and knowledge preferred
Independent judgment/critical thinking
Strong Communication Proficiency
Bachelor or Masters in Engineering, Math, Computer Science, Econometrics, Statistics, Operational Research, or equivalent analytical or technical fields that use large data and statistics
5+ years of banking experience, analytics and/or business intelligence space, preferred
Knowledge of banking core systems, products and technology preferred