上海招聘

• Perform Transaction loss, Fraud and Credit risk related analysis. Support PayPal Risk users or data scientists for their data exploration, analysis and research, Risk assessment and Risk decisioning.
• Work with data architects and engineers to create offline data products -data-warehouse or Hadoop based solutions. The typical process for creating offline data products starts with initial ideation and includes analysis/research, prototyping, requirement documentation, design, development, QA, deployment and UAT.
• Capture business requirement and produce technical requirement for backend data processing and delivery.
• Bridge business users and the technology organizations. Lead collaborations and discussions among cross-functional teams for effective solution-building or issue-resolutions.
• Starting with business questions, leverage strong analytical skills, critical thinking capabilities, and in-depth understanding of PayPal's data to collaborate with business users and engineers, brainstorm and strategize the "right" data products, initiate and document the requirements.
• Influence, support and contribute to the development of PayPal's data strategies.

Experience:

• An ideal candidate should have a successful track record as either a business/data analyst or a data (warehouse) specialist, preferable in Financial Services industry.
• Must have experience collaborating with cross-functional teams.
• 7+ years of experience with Bachelor degree OR 5+ years of experience with a Graduate degree

Required Skills:

• For data specialist background candidate: must have data-warehouse skills in one of followings : data modeling, ETL, or BI; For business analyst background candidate: must have strong skills in large dataset manipulations for financial analysis, data mining or statistical modeling;
• Must have good understandings of Dimensional Modeling
• Strong SQL Skills
• Hands-on experiences with SAS or Hadoop are strong plus
• Teradata SQL and BTEQ - Plus point

Other Important Skills:

• strong analytical skills critical thinking- preferable experience in financial industry
• Excellent verbal and written communication and presentations skills; must be proficient in MS Excel, PPT, Excel, Word and Visio

Must be a team player and enjoy collaborations with cross-functional teams

• For data specialist background candidate: must have data-warehouse skills in one of followings : data modeling, ETL, or BI; For business analyst background candidate: must have strong skills in large dataset manipulations for financial analysis, data mining or statistical modeling;
• Must have good understandings of Dimensional Modeling
• Strong SQL Skills
• Hands-on experiences with SAS or Hadoop are strong plus
• Teradata SQL and BTEQ - Plus point

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