Data Analyst
Posted on 4/12/2022
INACTIVE
PayPal

10,001+ employees

Digital platform for fast, easy money transactions
Company Overview
PayPal stands out as a leader in the fintech industry, with a commitment to making financial transactions fast, easy, and enjoyable for millions of users worldwide. The company's culture is rooted in diversity and equal opportunity, offering generous benefits to ensure employee wellbeing. Furthermore, PayPal Ventures actively invests in cutting-edge fintech, commerce, digital infrastructure, and crypto/blockchain technologies, demonstrating the company's forward-thinking approach and commitment to driving transformative solutions in the market.
Financial Services
Consumer Goods
Data & Analytics

Company Stage

Series B

Total Funding

$1B

Founded

1998

Headquarters

San Jose, California

Growth & Insights
Headcount

6 month growth

0%

1 year growth

3%

2 year growth

-15%
Locations
Towson, MD, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Data Science
SQL
Tableau
Data Analysis
Google Cloud Platform
PowerPoint/Keynote/Slides
CategoriesNew
Business & Strategy
Data & Analytics
Requirements
  • Bachelor's degree in computer science or engineering discipline with a solid quantitative aptitude
  • Work cross-functionally and cultivate strong partnerships with business stakeholders, business leads, subject matter experts, and technical staff to gather and develop business needs in technical requirements
  • Identifying and refining current and future‐state business processes by performing deep-dive analysis of the current state and proposing future state solutions effectively using clear and precise documentation
  • Motivation to understand business processes and data platforms to design/deliver scalable data solutions to support customer needs
  • Good understanding of database principles and hands-on experience in advanced SQL to perform complex analysis
  • Expert knowledge of data modeling concepts; experience with data modeling and generating metadata to support relational & non-relational database implementations; experience building logical and physical data models
  • Good understanding of distributed systems (Teradata, BiqQuery), data movement, and optimizing ETL processing of vast datasets with specified SLAs
  • Collaborate closely with the engineering team and provide ongoing support to help implement end-user requirements
  • Ensure the consistency and quality of data solutions completed by the engineering team
  • Prior knowledge of any analytical visualization tools like Tableau and QlikView is desirable
  • Document data solutions for easy business consumption
  • Strong communication skills, both written and verbal, and skilled at adjusting communication style/vocabulary to an audience's role/function and technical familiarity
  • Basic knowledge and understanding of financial services, especially the credit systems
  • Proficient in Microsoft Office tools like Excel, PowerPoint, and SharePoint
Desired Qualifications
  • Knowledge of Big data environments and Cloud services (GCP) is a plus