Data Analytics

Short Description

Paypal is hiring for Data Analytics who analyze complex system behavior from multiple sources, performance, and application monitoring data. Deliver insights into signup & payment conversion and landing page performance by geography and product segment. Also perform highly analytical deep-dives to identify root cause and mitigation opportunities or specific actions to add value.

Job Description

Responsibilities:
  • Develop a deep understanding of PayPal Products.
  • Identify key business levers, establish cause & effect, perform analyses, and communicate key findings to various stakeholders to facilitate data driven decision-making.
  • Discover new opportunities to grow and optimize the business through analytics, financial modeling, and business case development.
  • Analyze complex system behavior from multiple sources, performance, and application monitoring data.  Deliver insights into signup & payment  conversion and landing page performance by geography and product segment.
  • Analyze channel performance, design and execute experiments, research, financial models and other mechanisms to identify, evaluate and prioritize opportunities.
  • Identify key metrics and build exec-facing dashboards to track progress of the business and its highest priority initiatives.
  • Perform highly analytical deep-dives to identify root cause and mitigation opportunities or specific actions to add value.
  • Work closely across the matrix with teams like Finance, Marketing, Product, Engineering and senior executives.

Qualifications and Skills:
  • Graduating with either an undergrad or graduate technical/quantitative degree from a top-tier institution. Degrees in Computer Science, Statistics or Mathematics are a big plus.
  • Experience, familiarity and ease with handling large data sets and crunching numbers.
  • Significant experience with SQL or other software engineering languages (Python, C++, Java).
  • Familiarity with web analytics (Google Analytics, Site Catalyst), statistical packages (SAS, R), and visualization tools (Qlikview, Tableau).
  • Passionate about problem solving.
  • Ability to translate business questions into structured analysis and data analytics into business insights.
  • Strategic thinking and mental flexibility to be able to understand both the details of the problem, as well as, the big picture/business solution.
  • Exceptional written and verbal communication skill with the ability to translate complex problems into simpler terms, and effectively influence both peers and senior leadership.
  • Ability to make data-driven decisions and highly results-oriented.
  • Experience with experimentation and A/B testing is a big plus.
  • Enjoys having fun and truly wants to make real impact in their work.

Data Analytics
Mid-Senior-level Information Technology | Technology | Information Full-time Analyst | Other SAS | Data Analyst | Big Data | Java | Hadoop | Python
Who we are
Fueled by a fundamental belief that having access to financial services creates opportunity, PayPal (NASDAQ: PYPL) is committed to democratizing financial services and empowering people and businesses to join and thrive in the global economy. Our open digital payments platform gives PayPal├?┬ó??s 210 million active account holders the confidence to connect and transact in new and powerful ways, whether they are online, on a mobile device, in an app, or in person. Through a combination of technological innovation and strategic partnerships, PayPal creates better ways to manage and move money, and offers choice and flexibility when sending payments, paying or getting paid. Available in more than 200 markets around the world, the PayPal platform, including Braintree, Venmo and Xoom, enables consumers and merchants to receive money in more than 100 currencies, withdraw funds in 56 currencies and hold balances in their PayPal accounts in 25 currencies.

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