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Data Analyst

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.