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 disputes 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 executives.
Required qualifications, capabilities and skills:
- 8+ years of relevant experience doing hands-on data analysis.
- Technical expertise regarding data models, data analysis, and segmentation techniques
- Experience with Business Intelligence and analytical tools such as Alteryx, Tableau, etc.
- Self-sufficiency in querying and extracting data from Enterprise databases (Snowflake, GOS, AWS, etc)
- Strong 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,
- 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.
- Must be able to operate in a self-directed manner with little direction; must have a strong desire to take the initiative to deliver superior results.
- Strong organizational skills and ability to work with in time constraints in a highly regulated industry.
Preferred qualifications, capabilities and skills:
- Operational knowledge of Fraud Customer Protection Services is a plus.
- Advanced degree is desired with preferred concentrations in Math, Statistics, Economics or similar quantitative disciplines .
- Experience with financial business cases a plus.
- Experience in analytics or consumer banking/ retail banking is a plus.