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PayPal Data Analyst 
France, Auvergne-Rhône-Alpes 
75047682

18.08.2024

What you need to know about the role-


Your day to day

In your day to day role you will

  • Mine complex data covering a wide range of information (from user profiles to transaction details); design/maintain critical US Pay Later metadata and dashboards that drive key business insights and decisions

  • Document data pipeline processes / data flows and design scalable framework for data quality checks and validation processes to ensure accuracy and consistency

  • Collaborate with Pay Later Risk Partners like Policy Owners, Data Engineers, Product Owners, SLOD / Governance, Fraud Policy, Collections, etc. ensuring smooth communication of business metrics

  • Drive US Pay Later data enhancement initiatives and communicate status of the initiatives to leadership at regular intervals

  • Carry out independent research by applying advanced statistical techniques to generate insights and solve risk problems that involve classification, clustering, pattern analysis, sampling, simulations, etc.

  • Trouble shooting any data, system and flow challenges while maintaining flawless data availability

What do you need to bring-

  • Bachelor’s degree or higher in a quantitative field such as Mathematics, Statistics, Operations Research, Finance, Economics or related quantitative discipline.

  • Prior experience in lending, credit risk management, or related field (preferred)

  • 2+ years post-college working experience within a data-mining, quantitative research or analytics organization.

  • Must be an intuitive, organized analytical thinker, with the ability to perform detailed analysis.

  • Strong written, oral, and interpersonal skills a must including the ability to explain and/or present analysis.

  • Must have good business judgment with demonstrated ability to think creatively and strategically.

  • Aptitude and willingness to roll-up the sleeves and get involved in the details.

  • Proficiency in SQL, SAS, Python and visualization tools like Tableau, Qlikview, etc.

Our Benefits:

Any general requests for consideration of your skills, please