PayPal s Global SMB Portfolio Analytics team provides the connecting fiber between Strategy, Go-To-Market, Product, and Marketing teams. We collaborate closely with senior leadership to deliver analytical insights, perform merchant segmentation, drive global initiatives, and develop self-serve tools to empower our teams and enhance decision-making.
Job Description
Your way to impact
You believe in data-driven decisions and use data to answer business questions
You are a highly motivated, result-oriented self-starter, enjoy working in a fast-paced environment, and can deliver successful results with minimal guidance
You are curious and inquisitive you love digging into data and uncovering insights
You can structure complex problems in simple terms.
Be an independent thinker, able to work autonomously on projects with complexity both on the technical side and on the business implications side
Your day to day
Develop a deep understanding of PayPal s overall key strategic initiatives of the SMB business.
Identify key business levers, establish cause & effect, perform analysis, and communicate key findings to our main business stakeholders to facilitate data-driven decision making.
Synthesizing large volumes of data with attention to granular details to discover new opportunities to grow and optimize the business using state-of-the-art tools and techniques.
Build exec-facing insights, reports, and dashboards to track and present the progress of its highest-priority initiatives and present findings and recommendations to senior-level stakeholders
Drive automation of repetitive process and build and deliver self-serve tools to empower Business stakeholders.
What do you need to bring
Data-driven mindset, with a degree in a quantitative discipline such as Engineering, Computer Science, Statistics, Mathematics or Economics.
At least 4 years of relevant work experience in analysing large, multi-dimensional data sets and synthesizing data insights into actionable recommendations.
Strong interpersonal and project management skills, ability to lead cross-functionally.
Strong organizational, multi-tasking, and prioritizing skills, sets and meets deadlines
Fluent in SQL and Excel, and visualization tools such as Tableau or Looker; experience with a statistical programming language like Python or R is preferred