The SMB Merchant Product Analytics & ML team at PayPal plays a critical role in supporting the business unit responsible for onboarding 15M merchants each year and setting up for success in their lifecycle. This team impacts both PayPal s top and bottom line and has a front-row seat to Senior Leadership discussions on PayPal s strategy.
Job Description:
Your way to impact
This role directly impacts PayPal top and bottom line by improving the health of the SMB portfolio & offerings.
Collaborate with cross-functional teams including Sales, Marketing, Pricing Strategy, Operations, Product, and Engineering teams to drive new product ideas through each stage of the idea-lifecyle - from genesis to strategy to execution.
You will synthesizing large volumes of data with attention to granular details and present findings and recommendations to senior-level stakeholders
You will collaborate with engineering and data engineering to enable feature tracking, resolve complex data and tracking issues, and build necessary data pipelines
Your day to day
In your day to day role you will
Become a domain expert in the SMB Product space and conduct rigorous data analysis to drive meaningful financial benefit for PayPal without jeopardizing customer experience.
Perform deep-dive analytics including Causal Inference analysis, Pre-Post analysis, Sensitivity analysis, financial projections, and additional ad-hoc exercises to provide holistic recommendations for various product initiatives
Challenge the status quo, and drive data backed decision making
Partner closely with product leaders to understand new product offerings being built and recommend the right metrics to measure the performance of those features
Identify key metrics, conduct rigorous explorative data analysis, create executive-friendly info-insight packets and build business cases that drive decision making and prioritization
Analyze business performance and health, triage issues, and provide recommendation on the best course solution and optimization
Synthesizing large volumes of data with attention to granular details and present findings and recommendations to senior-level stakeholders
Collaborate with engineering and data engineering to enable feature tracking, resolve complex data and tracking issues, and build necessary data pipelines
Define and cultivate best practices in analytics instrumentation and experimentation
Support multiple projects at the same time in a fast-paced, results-oriented environment
What do you need to bring
At least 5 years of experience analyzing large, multi-dimensional data sets and synthesizing insights into actionable solutions
B.S. in a quantitative field, advanced degrees preferred
Fluent in SQL and scripting languages such as Python or R, comfortable working with large, complex, and potentially messy datasets
Understanding of statistics (e.g. hypothesis testing, statistical inference, regression) and experience designing and evaluating complex experiments
Exceptional communication skills, both written and verbal, to influence cross-functional teams
Strong interpersonal skills and experience leading cross-functional teams
Prior work experience in a product analytics space would be highly valued
A passion for problem-solving and comfort with ambiguity
