Key Responsibilities

• Understand how to make data visually appealing and simple to both navigate and comprehend for end-users

• Aggregate data from various sources to construct streamlined data pipelines and integrate data from multiple PayPal systems

• Identify key metrics and build exec-facing dashboards to track the progress of the business and its highest priority initiatives

• Identify key business levers, establish cause effect, perform analyses, and communicate key findings to various stakeholders to facilitate data driven decision-making

• Work closely across the matrix with teams like Finance, Marketing, Product, Engineering and senior executives

• Lead and participate in special projects/initiatives: innovate and implement large-scale quality improvements to processes and/or systems by conducting data analysis and making recommendations, troubleshooting technical issues, and refining processes around customer support

Basic Requirements

• Experience with any or multiple of the following: Python, Java, Tableau, Jupyter Notebooks, Teradata, Hadoop/Hive, Oracle, JavaScript, SQL, Airflow, Linux, Perl, PHP

• Excellent understanding of computer science fundamentals, data structures, and algorithms

• Demonstrated experience, familiarity and ease with handling large data sets and crunching numbers

• Information Retrieval (search / recommendation / classification) experience or Human Judgment/User Interface experience

• Strong written and verbal communication skills with the ability to translate complex problems into simpler terms, and effectively influence both peers and senior leadership