Paypal Data Analyst Recruitment Job Notification, Register now: Check the eligibility criteria

Paypal Careers Recruitment for Data Analyst: It is great opportunity for applicants, who are looking for Paypal Data Analyst in Bangalore location.

Interested applicants can apply for the recruitment drive of Paypal Data Analyst and register through the given below link. The detailed eligibility criteria and the application process of Paypal Data Analyst details are given below.

Here, you will get the information about the recruitment of Paypal Recruitment Drive such as Name of Company, Job Location, Job Role or Profile, Experience or Fresher Required, Year of Passing, Qualification or Eligibility Criteria, and much more.

Job seekers are advised to read all the details before making online applications for Paypal Data Analyst opening in Bangalore location.

Job Summary of Paypal Jobs & Careers Hiring for Data Analyst:

Name of Company: Paypal

Location: Bangalore

Profile: Data Analyst

HP Careers India Fresher & Experience Job notification, High school education or Equivalent

Paypal Data Analyst Recruitment Drive-Details:

Job Description Summary: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.

Job Description:

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 responsibility, promotes continuous learning, and rewards innovation.  

Your Day-to-day Will Involve 

• 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  
• Developing 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. 

The Ideal Candidate Is 

• Innovative & Curious – You have the desire and ability to connect and empathize with our customers. You have an entrepreneurial spirit and get excited about creating new businesses and reinventing current ones. You ask why, explore, and bring your unique perspective to the table. 

• Analytical & Action-Oriented – You are data driven and outcome focused. You grow comfortable with ambiguity, fueled by a hunger to learn and constantly seeking out new challenges. You have a desire to take action, try new things, and sometimes fail. You persevere but know when to change course and are up for juggling multiple deliverables. 
• Collaborative & Team-Oriented – You always keep the people around you in the loop and are excited to communicate complex ideas clearly to make sure your co-workers understand the “why” behind their work and their key priorities. 
• Inclusive - You will empathize with those around you and care about their success, as you bring people together around what’s possible. 

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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How to apply Paypal Recruitment Drive for the role of Data Analyst?