#2026-121121
nternational Services. You will partner closely with business, operations, and risk stakeholders to define meaningful KPIs, evolve manual reporting into scalable data assets, and deliver insights that inform strategy, prioritization, and execution.
This is a hands-on leadership role requiring both strategic thinking and deep analytical execution. You will influence outcomes through strong partnership and technical expertise, without direct people management responsibility.
What You'll Do (Key Responsibilities)
Partner with business and operations leaders to define success measures, translate business questions into analytical requirements, and deliver actionable insights
Modernize recurring Excel-based reporting into scalable, automated datasets and dashboards
Design, build, and maintain curated data models and data pipelines using SQL and Python
Develop and publish trusted, user-friendly dashboards and self-service analytics in Tableau and/or Power BI
Establish and maintain practical reporting and dashboard governance, including data quality checks, refresh schedules, documentation, and access controls
Deliver timely ad hoc analysis and executive-ready insights to support strategic and operational decisions
Collaborate across analytics, data engineering, and business teams to drive standardization, reuse enterprise data assets, and improve end-to-end data quality
Communicate complex technical concepts in clear, business-relevant terms
What you have
Skills and Capabilities (What You Bring)
Ability to translate ambiguous business needs into clear, testable analytical deliverables
Strong analytical problem-solving skills and comfort working with complex datasets
Proficiency in SQL for building reusable datasets and performant queries
Experience using Python and/or R for data analysis, automation, and data manipulation
Capability to design, publish, and maintain dashboards with clear metric definitions and documentation
Knowledge of data governance practices that improve trust, transparency, and scalability
Strong stakeholder partnership skills, including the ability to influence without formal authority
Ability to balance strategic thinking with hands-on execution
Clear, concise written and verbal communication skills
Comfort operating in evolving environments while maintaining focus and delivery discipline
Required Qualifications
5+ years of experience in data analytics, business intelligence, data engineering, or a closely related field with increasing scope and ownership
3+ years of experience building and publishing dashboards using Tableau and/or Power BI
2+ years of hands-on experience developing and automating data pipelines or ETL/ELT workflows
Advanced experience with SQL and relational data environments
Experience using Python and/or R for analysis and automation
Strong Excel capabilities, including improving and automating manual reporting processes
Preferred Qualifications
Bachelor's degree in Business, Finance, Management Information Systems, Computer Science, Analytics, Mathematics, or equivalent practical experience
Experience supporting international, multi-region, or regulated financial services environments
Familiarity with version control and collaborative development practices for analytics assets
What's in it for you
At Schwab, you're empowered to shape your future. We champion your growth through meaningful work, continuous learning, and a culture of trust and collaboration-so you can build the skills to make a lasting impact. Our Hybrid Work and Flexibility approach balances our ongoing commitment to workplace flexibility, serving our clients, and our strong belief in the value of being together in person on a regular basis.
We offer a competitive benefits package that takes care of the whole you - both today and in the future: