We’re driven by curiosity, passion, optimism, and the belief that everybody can grow.

The Data Scientist Senior Associate - Card Customer Experience (CX) Analytics is a unique opportunity for a well-rounded hands-on analytics professional.  The Card CX Analytics team leverages our Big Data ecosystem and collaborates with senior leaders across the organization to provide strategic insights to the Card & Connected Commerce leadership team. This position will play a critical role in delivering analytics to identify customer issues across Servicing and Digital experiences and contribute to the development of cross-functional solutions, while partnering with stakeholders across the CX Insights & Innovation team in Marketing, Growth & Innovation.

The Data Science Senior Associate role will leverage skills and as well as experiences in building insights from advanced analytics, working with various data sources and tools, data querying and extracting meaningful insights from big data to support our Credit Card CX partners. This role is a hands-on mix of consulting know-how (problem solving, critical thinking and communication), analytical proficiency in statistics, data science, proficiency in SQL/Python programming, visualization methods and technologies.

Job Responsibilities:

Leverage your experience as an analytics professional to partner with our Card stakeholders in the Customer Experience team and deliver data-driven insights supporting our CX analytics roadmap.  Help partners in the Card CX business define business problems, understand root causes and deliver analytical solutions to address them. Identify customer pain points and Net Promoter Score (NPS) challenges by leveraging various data sets and analytics to drive awareness and inform strategic decision-making. Take initiative in evaluating and adapting new analytical approaches and data sources. Communicate analytical findings and obstacles to our stakeholders in the Card business. Develop deep subject matter expertise in various financial and customer experience domains. Code your solutions (this is a hands-on position requiring strong programming skills) Uphold a rigorous controls environment to ensure accurate and timely results Collaborate across teams to deliver the best solution for client, working with a wide range of internal resources.

Required qualifications, capabilities, and skills:

Bachelor’s degree in relevant quantitative field  (e.g. Statistics, Economics, Applied Math, Operations Research, other Data Science fields). 3+ years of relevant hands-on data analytics experience or advanced degree in analytical field (e.g. Statistics, Economics, Applied Math, Operations Research, other Data Science fields) and 2+ years of hands-on experience with data analytics; experience evaluating complex business problems, data analysis and devising recommendations and analytics to solve those business problems. Exceptional analytical, quantitative, problem solving, and communication skills Demonstrate intellectual curiosity for solving difficult business problems. Knowledge of statistical software packages (e.g. Python, R and SAS) and data querying languages (e.g. SQL, Snowflake).

Preferred qualifications, capabilities, and skills:

Experience in financial services, digital or customer experience analytics Hands-on experience with Python, SQL and Tableau preferred Familiarity with web analytics tools (Qualtrics, Adobe, Quantum Metric, etc.)