Come join us for reshaping the future!
Job Summary:
As a Vice President - Operations Fulfilment & Archival Services (FAS) Product Analytics within our cross-functional team, you will play a pivotal role in steering the analytics book of work. Collaborating closely with partners in the Product team, Finance, Customer Experience, UX/UI Design, Software Engineering, and Product Owners, you will have the opportunity to contribute to the construction and revision of the business case, analysis scoping, hypothesis development, data gathering, performance analysis, and the generation of insights. Additionally, you will participate in the development of presentations to communicate our findings
Job responsibilities:
Work as a member of agile, digital, tribes or scrum teams to provide data and analytics support for new product development Build holistic insights using a mix of customer, account, digital, financial and operational data sets Import, clean, transform and validate data from multiple sources in preparation for analytics and/or modeling Develop business cases, size addressable populations & estimate potential impact on proposed measurement plans Scope, implement & track new features and enhancements to the document fulfilment journey Identify customer interactions and events across a variety of channels to better understand customer journeys and friction points Leverage a variety of analytical and statistical applications (Alteryx, Excel, SQL, Python, etc.) to describe, analyze, and interpret trends and patterns in complex data sets. Aid in presentations summarizing sharp insights and conclusions, often for executivesRequired qualifications, capabilities and skills:
8+ years of relevant experience doing hands-on data analysis. Data Analysis - Strong background and 8+ years of experience in building statistical/machine learning models involving multiple data inputs from different data sources in the area of Marketing/Customer journey/Operations/Finance Technical expertise regarding data models, data analysis, and segmentation techniques Experience with Business Intelligence and analytical tools such as Alteryx, Tableau, etcStrong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy Bachelor’s degree required. Ideal candidate would be able to develop and deliver concise presentations that clearly articulate challenges, actions and results for complex matters - creating clarity and a bias for action with key stakeholders. Ideal candidate would be able to crisply synthesize data into actionable insights for executive leadership Strong organizational skills and ability to work with in time constraints in a highly regulated industry.
Preferred qualifications, capabilities and skills:
Self-sufficiency in querying and extracting data from Enterprise databases (Snowflake, Oracle, etc) and knowledge of AWS is a plus. Advanced degree is desired with preferred concentrations in Math, Statistics, Economics or similar quantitative disciplines. Operational knowledge of document fulfilment journey a plus. Experience with financial business cases a plus. Experience in analytics or consumer banking/ retail banking is a plus