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PayPal
Sr Mgr, Checkout Product Data Science
atĀ PayPal
about 2 months ago | 115 views | Be the first one to apply

Sr Mgr, Checkout Product Data Science

Full-time
San Jose

About the company

PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. For more information, visitā€Æhttps://www.paypal.com ,ā€Æ https://about.pypl.comā€Æand ā€Æhttps://investor.pypl.com. PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at [email protected].

Job Summary

The Role:

šŸ“Partner closely with Product Managers to understand new product offerings being built and recommend the right metrics to measure the performance of those features šŸ“Identify key metrics, conduct rigorous explorative data analysis, create executive facing dashboards and build business cases that drive decision making and business prioritization šŸ“Analyze merchant product performance and health, triage issues, and provide recommendation on the best course solution and optimization. šŸ“Synthesizing large volumes of data with attention to granular details and present findings and recommendations to senior-level stakeholders šŸ“Guide and mentor group of team members on day-to-day delivery šŸ“Define and cultivate best practices in analytics instrumentation and experimentation šŸ“Support multiple projects at the same time in a fast-paced, results-oriented environment šŸ“Provide strategic and tactical guidance on specific data elements that need to be tracked to enable tracking of metrics and assess user behavior šŸ“Collaborate with data platform teams to build/enhance necessary data platforms to provide metrics & business insights and build alerts to monitor those metrics.

Requirements:

šŸ“At least 7 years of experience analyzing large, multi-dimensional data sets and synthesizing insights into actionable solutions šŸ“At least 3 years of experience in managing analytics teams šŸ“Data driven mindset with a Bachelorā€™s/Masterā€™s degree in any quantitative discipline such as Analytics, Engineering, Computer Science, Economics, Statistics or Mathematics šŸ“Fluent in SQL, Excel, and visualization tools such as Tableau or Qlikview; experience with a statistical programming language like R or Python preferred šŸ“Experience analyzing very large, complex, multi-dimensional data set šŸ“Experience with one or multiple of the following will be highly desirable; Python, Jupyter Notebooks, Teradata, Hadoop/Hive, SQL, BigQuery šŸ“Domain expertise in payments or other financial services šŸ“Exceptional communication skills, both written and verbal, to influence cross-functional teams šŸ“Prior work experience in a product analytics space would be highly valued šŸ“A passion for problem-solving and comfort with ambiguity

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