Paypal Recruitment 2022
This is informed to all the candidates who are looking for starting their carrier then have a great opening in PayPal, Paypal is hiring for Data Analysts Any graduate/postgraduate From any stream apply now, Before Applying for this position read all the details carefully and also share this post if anyone needs.
Company Paypal
Position Data Analyst
Salary 5 to 8 LPA Expected
Batch 2018 2019 2020 2021 2022
Experience 0-2 Years Freshers Apply now
Qualification BBA BCA B.COM BA BSC B.TECH MCA MSC MBA M.TECH Any Graduate/postgraduate
Job Description:
About PayPal
PayPal is a leading technology platform and digital payments company that enables digital and mobile payments on behalf of consumers and merchants worldwide. Its solutions include PayPal, PayPal Credit, Braintree, Venmo, Xoom, iZettle, and Paydiant products. PayPal is committed to democratizing financial services and empowering people and businesses to join and thrive in the global economy. Our goal is to enable our consumers and merchants to manage and move their money anywhere in the world, anytime, on any platform, and using any device.
About the Role
As a Data Scientist at PayPal, you will apply your strategic and analytical skills to major company challenges. You will act as a business consultant to drive recommendations and implement solutions that ultimately impact the bottom line. And you will do it all by collaborating with a global team of colleagues across sales, operations, product, data science, and finance in an environment that values your insight encourages you to take on new responsibilities, promotes continuous learning, and rewards innovation.
- Using modeling and analytics to understand how business decisions impact our bottom line. This may include assessing risks of new products, determining fraud policies, or identifying inefficiencies in existing operations.
- Ensuring the team is delivering on our KPIs by using various data mining and data visualization tools to monitor portfolio performance and identify improvement opportunities
- Develop hypotheses and set up your own problem frameworks to test for the best solutions. You will also scope the operational feasibility, lead implementation efforts, and monitor the success of your solutions.
- Leveraging data analysis tools and technologies. For example, using machine learning to determine how we identify fraud.
- Creating new solutions rooted in empathy and research that assist all customers as they work to better manage their finances.
- Collaborating in a team environment. As part of our crew, you will learn to energetically rally diverse groups in pursuit of a common goal.
Basic Qualifications
- Bachelor’s degree or higher in a quantitative field (Business, Math, Economics, Finance, Statistics, Science, Engineering)
- Experience with or willingness to learn tools such as SQL, R, Python, Tableau
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