PayPal Recruitment Drive; Hiring Data Analyst – Apply Now

PayPal looking for a data-driven, outcome-focused, and high performing Data Analyst 2 to join our Global Collections Strategy team. Data Analyst 2 in the team apply their analytical and technical skills to derive actionable intelligence. They analyze customer behavioral patterns to recommend business strategies to improve efficiency and effectiveness of Collection efforts. They collaborate with Technology and Operations partners in developing innovative and personalized experience based on the most effective channels and treatments to optimize customer experience. Candidates atre advised to apply soon, before the link expires

Name of the Organization: PayPal

Requisition ID: R0118392

Positions: Data Analyst

Location: Bangalore

Salary: As per company Norms

Required Skills & Qualifications:

• Master’s degree in Statistics, Analytics, Data Science or Business Administration
• 1+ years of professional experience within Financial Services/Credit industry in solving problems using data-driven approach.
• Collections and Digital Channels experience highly preferred.
• High proficiency in SQL. Experience with Python, R, Unix, Hadoop
• Strong organizational skills and excellent follow-through
• Outstanding written, verbal and interpersonal communication skills
• A can-do mentality and a creative approach to problem solving.
• Experience with working in a technology environment.

Job Description:

Your way to impact:

• Provide analytical insights by analyzing various types of data, including mining our customer data, review of relevant cases/samples, and incorporation of feedback from teammates.
• Developing expertise in specific areas by leading analytical projects independently, while setting goals, providing benefit estimations, defining workflows, and coordinating timelines in advance.
• Providing updates to leadership, peers and other stakeholders that will simplify and clarify complex concepts and the results of analyses effectively with emphasis on the actionable outcomes and impact to business.

Your day to day:

• Work closely with cross-border business partners and stakeholders to determine how to design analysis, testing, and measurement approaches that will significantly improve our ability to understand and address emerging business issues.
• Produce intelligent, scalable, and automated solutions by leveraging Data Science skills.
• Work closely with Technology teams on development of new capabilities to define requirements and priorities based on data analysis and business knowledge.

 

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