Manager, Data Analytics

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. 

We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers.

We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards.  Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade. 

Our beliefs are the foundation for how we conduct business every day.  We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities.

Job Summary:

We are seeking a data-driven Product Analytics Professional to join our team and drive product decisions through deep analytical insights. This role will be instrumental in understanding user behavior, measuring product performance, and identifying opportunities for growth and optimization. The ideal candidate will bridge the gap between complex data and actionable business insights.

Job Description:

Essential Responsibilities:

• Manage, coach, and develop a team of data analysts.
• Oversee day-to-day delivery of analytics projects and reporting.
• Ensure accuracy, consistency, and quality of all team outputs.
• Collaborate with business units to prioritize analytics initiatives.
• Communicate insights and recommendations to mid-level leadership.

Expected Qualifications:

• 5+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.

Additional Responsibilities & Preferred Qualifications:

Key Responsibilities :

Data Analysis & Insights 

• Analyze user behavior, product usage patterns, and customer journey data to identify trends and opportunities 

• Design and implement measurement frameworks for product features and initiatives 

• Create comprehensive dashboards and reports to track key product metrics and KPIs 

• Conduct A/B tests and experiments to validate product hypotheses and measure impact 

• Perform cohort analysis, funnel analysis, and retention studies to understand user engagement 

Strategic Support 

• Partner with product managers, engineers, and designers to define success metrics for new features 

• Provide data-driven recommendations to inform product roadmap and prioritization decisions 

• Present findings and insights to stakeholders across all organizational levels 

• Identify opportunities for product improvements based on data analysis