You will provide a comprehensive view of data to all levels of stakeholders across multiple functions, forward-thinking, analytical, and comfortable working in a fast-paced environment and implement solutions that propel Chase forward.

Job responsibilities

• Leverage our data to scale our ability to optimize transaction based economics including interchange revenue, network expense and other revenue streams and identify revenue opportunity through deep analysis
• Work in conjunction with finance, legal and other functional partners to craft  financial business case, deal constructs and other key terms associated with partnership
• Drive excellent practices and technical standards to support the development KPIs and goals for the card business, developing information suites (Dashboards, reports, visualizations) fit for business consumption
• Partner closely with internal/external team to drive understanding of the data and its use in their business area and across line of business
• Understand and master a broad range of analytics capabilities (Test design, Modeling, NLP analysis, etc.) and how to best apply them to business problems 

 

Required qualifications, capabilities, and skills

• Bachelors in Science in a quantitative discipline - Statistics, Math, Finance, Economics, Operations Research, etc.
• 5+ years of analytical and industry experience in credit card, T&E retail, direct marketing, financial or other consumer orientated businesses, that capture and leverage a large transactional database
• Minimum 5 year of experience in advanced programming language (SQL, SAS, R, Python, Alteryx), relational database (Oracle/Teradata) and visualization tool (Tableau) skills to create/manage/analyze complex and large data sets 
• Exceptional analytical, technical, and statistical skill. Ability to synthesize/analyze diverse information, develop and recommend strategies, and make decisions
• Considerable background in business analysis, excel based financial modelling, understanding of P&L and data mining
• Deep analytical skills including understanding of common financial statements and ability to build financial models in Excel
• Excellent written and oral communication skills; possessing the ability to convey complex information - simply and clearly - to senior business leaders.
• Ability to work in a fast-paced, dynamic environment.
• Ability to manage multiple projects and prioritize work requirements across a multi-disciplinary team setting.

 

Preferred qualifications, capabilities, and skills

• Masters in Science in quantitative discipline or MBA preferred

Drive analytics and innovation to optimize strategies, deliver insights, and shape business growth in a fast-paced environment.