Senior Enterprise Analytics Developer

About the role

You will focus on delivering well-governed, production-ready analytics that enable consistent, data-informed decision-making across the organization. You will enable analytics use-cases by preparing high-quality, standardized datasets that integrate with evolving platforms, improving consistency while reducing rework and downstream reconciliation.

Your work will directly support how teams understand client behavior, operational performance, and cross-enterprise outcomes around Schwab.com and the mobile app. Your role is at the intersection of enabling a specific business unit's data & analytics use cases while building scale. Day to day, this means you'll engage with business partners to understand their needs, iteratively develop data assets to fuel their local analytics, and consider how the reusable data asset can scale across needs of other business units at Schwab.

Responsibilities

• Engage with business partners to understand their needs and translate requirements into analytics solutions
• Develop and maintain high-quality, standardized datasets that integrate with evolving platforms
• Ensure analytics assets are documented, auditable, and resilient to support regulatory expectations in a financial services environment
• Contribute to the evolution of shared analytics capabilities by improving consistency, scalability, and governance across domains
• Collaborate with cross-functional teams to deliver analytics solutions that align with enterprise-level governance & standards

Requirements

• 8-10+ years of experience designing and developing production-ready analytics data assets using SQL, python, and orchestration frameworks (alteryx, control-M, airflow, etc) in an enterprise data environment
• An undergraduate degree in Engineering, Information Management, Finance, Mathematics or related field
• Strong problem-solving, collaboration across teams, and the ability to deliver local value with speed while staying aligned to enterprise-level governance & standards

Qualifications

• Experience applying data modeling practices to support scalable reporting across shared datasets
• Experience partnering with business stakeholders to translate requirements into analytics solutions, and drive an analytics and data curation roadmap
• Understanding of financial services data, including client behavior, transactional flows, and/or operational metrics
• Strong focus on data quality, documentation, and maintainability

Skills

• Experience with semantic or metrics layers and reusable analytics frameworks
• Exposure to digital or product analytics and behavioral data
• Familiarity with enterprise data platforms and evolving analytics ecosystems
• Interest in AI-driven analytics and automation capabilities

Benefits

• 401(k) with company match and Employee stock purchase plan
• Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions
• Paid parental leave and family building benefits
• Tuition reimbursement
• Health, dental, and vision insurance