About the position
At Schwab, you're empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us "challenge the status quo" and transform the finance industry together. Do you have a desire to lead change and passion for improving client outcomes leveraging data & analytics? If so, this exciting opportunity is for you! Charles Schwab's Schwab Data and Analytics (SDA) group aims to harness the power of Data and Analytics to accelerate client and business value. We collaborate with business and technology partners across the enterprise to deliver data and analytical solutions that drive value. SDA is a department focused on firm-wide strategic decision support, client behavior diagnostics, advanced analytics, market research, client loyalty, management reporting, and data management. Our mission is to help Schwab compete on analytics - in particular, to serve our clients and cultivate their loyalty by understanding their needs and goals better than anyone - and make strategic decisions in a data-driven, fact-based, sophisticated manner. Our services are in heavy demand due to our reputation for strong business insight, outstanding productivity, and attention to detail. Within the Schwab Data and Analytics department, we are hiring seven positions in different tracks. Within all of these tracks in the Schwab Data and Analytics department, there will be inspiring opportunities that welcome you into the Schwab culture and immerse you into your role. The interactive program focuses on a variety of opportunities which feature a business track project, an intern cohort project, learning activities, volunteering in the community, a dedicated intern leader, networking, and exploring your unique personal strengths!
Responsibilities
- Deliver business insights from data to drive growth and enable data-driven decisions through quantitative analysis of behavioral, transactional, demographic, and financial data.
- Collaborate with a variety of business analytics teams to formulate insights on total company performance and progress against strategic priorities.
- Immerse yourself in the data eco-system at Schwab and understand how our data consumption community leverages our analytic data environment to answer business questions.
- Help mature our data development processes by documenting & creating guiding principles and procedures related to data intake and completion.
- Develop complex algorithms using advanced modeling techniques to interpret data and extract insights.
- Work with large data sets and leverage cutting edge machine learning techniques to predict outcomes.
- Support reporting for Workplace Financial Services and Retirement Business Services, focusing on data visualization and user-driven analysis capabilities.
Requirements
- Enrolled in a current undergraduate or graduate program tracking to a bachelor's, master's degree, or PhD.
- Targeting graduation between August 2025 through June 2026.
- Ability to start full time employment after graduation anytime between December 2025 through September 2026.
- Strong business acumen, strategy, and stakeholder management skills.
- Basic SQL, data analysis, and data visualization skills.
- Pursuing a bachelor's degree in a quantitative field; significant additional coursework in business preferred.
- Strong working knowledge of SQL for data retrieval and engineering as well as Python / R / SAS for analytics.
- Curiosity to learn how to assess the design and operating effectiveness of business and IT processes.
- Excellent written and communication skills.
- Basic understanding of SQL or other querying language.
Nice-to-haves
- Experience with data visualization tools (e.g. MS Power BI, Tableau).
- An interest or passion in personal investing or finance.
- Hands-on experience with data tools and programming languages including SQL and Python.
- Experience with data science techniques such as profiling, a/b testing, ensemble learning, unsupervised learning, deep learning, feature reduction, time-series forecasting, Bayesian statistics, etc.
Benefits
- Competitive hourly compensation of $32-$37 per hour.
- Opportunities for networking and technical skill development.
- Supportive culture focused on personal and professional success.
