Affluent Card Analytics team is part of Card D&A which provides cutting edge analytical solutions and works closely with Card Product Leadership. The team utilizes Data Science, Machine Learning and Visualization capabilities to generate insights and work closely with the business to drive innovation and business impact.

As a Lead Data Scientist within the Sapphire Products team, you will collaborate closely with Product Owners to provide crucial insights through descriptive, diagnostic, predictive, and prescriptive analytics. Your role will involve building consensus with Product Owners on the promotion of customer engagement by defining metrics, sourcing data, developing queries, and generating reports.

Job responsibilities

Create data points using best practices to ensure high data quality and reduced redundancy Rationalize complex normalized data sets allowing for ease of cross org consumption Translate data into meaningful insights and present a compelling story to stakeholders for decision making Bring in experience in the production, optimization and automation of recurrent reports Analyze travel-related data to understand customer behavior and trends across different channels. Monitor and assess the impact of guardrails on customer journeys to ensure a seamless booking experience. Identify key entry points in the customer journey and optimize them for improved conversion rates. Design and conduct experiments to measure the effectiveness of new features or changes in the travel booking flow. Collaborate with Product team, other Data & Analytics teams, and Channels team, to gain insights into customer behavior and preferences from an end-to-end experience. Develop and maintain Adobe Analytics dashboards to track key metrics and performance indicators. Utilize heatmaps and other visualization tools to identify areas of improvement in the user experience.

Required qualifications, capabilities and skills

Bachelors degree in quantitative or related field with 8+ years of analytics experience Strong Adobe Analytics knowledge  Intermediate knowledge of SQL, Alteryx and Tableau Experience with Hadoop, Teradata, Oracle and SQL DBs Adept at explaining and converting complex concepts into digestible information to be consumed by audiences of varying levels of expertise Intellectually curious and eager to learn new things with an eye for innovation Highly organized and able to prioritize multiple tasks Good written and oral communication skills  Operational business knowledge of processes, data, controls, and technology platforms

Preferred qualifications, capabilities and skills

Functional industry experience in operations, marketing, credit/risk, technology or finance Intermediate knowledge of Machine Learning Strong SQL skills with the ability to pull data using multiple joins, sub-queries, and advanced functions in an enterprise-scale database environment (Teradata, Hadoop, AWS, etc.) Demonstrated experience with business intelligence and data wrangling tools such as SAS EG, SAS Viya, Python, Snowflake and Alteryx is key Experience with visualization techniques for data analysis and presentation (Tableau preferred) Basic skills with JIRA, Confluence Familiarity with Cloud (AWS, Snowflake) based data solutions and tools