Senior Data Systems Analyst – Dashboards & ETL (Partial Remote)

Socket.dev; San Jose (CA); Hybrid; USD 184,000 - 220,000; Full time

Job summary

PayPal, Inc. seeks a Sr Analyst, Systems Analysis in San Jose, CA to collaborate across teams designing data and payment systems. You will build scalable data models, dashboards, and reporting to support strategic decisions.

You will partner with Data Technology to ensure data quality and reliability, monitor key processes, and resolve production issues. The role offers a balanced hybrid work model with 3 days in the office and 2 days remote.

Qualifications

• Master’s degree or foreign equivalent in Data Science, Statistics, CS, or related field.
• Bachelor’s degree with 7+ years of related experience accepted as alternative.

Responsibilities

• Collaborate with cross-functional teams to define and manage data and payment system requirements.
• Lead design and maintenance of scalable data models, transaction frameworks, and reporting capabilities.
• Partner with Data Technology teams to ensure data accuracy, quality, and timely delivery across platforms.
• Monitor and maintain critical business processes to ensure continuous, reliable service.
• Identify, triage, and coordinate resolution of production issues with development and operations teams.
• Develop and maintain performance dashboards and provide analytical insights for decision-making.
• Conduct ad hoc data analyses and performance evaluations to identify improvements.
• Contribute to future-state system design and align with business goals.

Skills

SQL & RDBMS

Dashboard visuals

Data models & ETL

Python analytics

Analytics solutions

AI/ML techniques

Requirements translation

Production data systems

Education

Master’s degree in Data Science/Statistics/CS

Bachelor’s degree +7 years experience

Tools

Tableau

Looker

Job description

PayPal, Inc. seeks a Sr Analyst, Systems Analysis in San Jose, CA to collaborate across teams designing data and payment systems. You will build scalable data models, dashboards, and reporting to support strategic decisions.

You will partner with Data Technology to ensure data quality and reliability, monitor key processes, and resolve production issues. The role offers a balanced hybrid work model with 3 days in the office and 2 days remote.