Paypal Is Hiring | Data Analyst Job | Freshers Are Eligible | Urgent Hiring
About Company
PayPal has remained at the forefront of the digital payment revolution for more than 20 years. It is reinventing how the world pays and gets paid. It connect individuals to let them shop, get paid, donate, and send money using today’s technology with the confidence that comes from the security and control PayPal enables.
The world’s leading payments company, PayPal, brings together a family of brands that are revolutionizing the way people move money.
Job Summary
Data Analyst you will generate insights by conducting extensive analyses of PayPal’s rich data. In the process, you will develop a deep understanding of the payments business, our site functionality, further strengthen your analytic, leadership and presentation skills and gain exposure to a wide variety of functional teams within PayPal.
Job Description
- Job Type: Full Time
- Job Role: Data Analyst
- Qualification: Bachelor’s Degree
- Experience: Freshers Are Eligible
- Salary: 20 Lakhs Per Annum (approx)
- Location: Chennai, India
Also Read: EY Is Hiring | Data Analytics Job | Freshers Are Eligible | Apply Now
Roles And Responsibilities
- Aggregate data from various sources to construct streamlined data pipelines and integrate data from multiple PayPal systems
- Work closely across the matrix with teams like Finance, Marketing, Product, Engineering and senior executives
- Understand how to make data visually appealing and simple to both navigate and comprehend for end-users
- Identify key business levers, establish cause & effect, perform analyses, and communicate key findings to various stakeholders to facilitate data driven decision-making
Requirements
- Strong written and verbal communication skills with the ability to translate complex problems into simpler terms, and effectively influence both peers and senior leadership
- 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
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