Schwab's Business Data & Analytics (BDA) team is looking to leverage data to drive better business decisions and outcomes for the Digital Assets organization. The Analytics Developer will provide actionable insights and develop reporting solutions to support the growth of Schwab's Digital Assets strategy.
Requirements
- 8+ years of experience with Business Intelligence and/or Data Analytics
- 5+ years of experience SQL structured programming, ad hoc queries, and data analysis development using BigQuery, Teradata, Oracle, and/or Microsoft SQL Server
- 5+ years of experience in creating highly interactive data visualization dashboards with Tableau Desktop & Tableau Server using features such as data blending, extracts, LOD calculations, filters, actions, parameters, context filters, sets, groups and aggregate measures
- Experience with Crypto data and/or familiarity with and passion for the concepts of Crypto
- Experience developing dashboard wireframes and design requirements with an understanding of technical and visual design considerations
- Ability to coordinate, compile and analyze highly complex reporting requests for the organization from a variety of data sources
- Leverage strong analytical and problem-solving skills to identify and deliver actionable insights to relevant decision makers to satisfy short and long-term business priorities and strategy
Responsibilities
- Lead efforts in providing business performance visibility on scalable business intelligence and reporting platforms to drive business results
- Work aggressively toward developing optimal business intelligence strategies to satisfying short and longer term priorities with solutions ranging from traditional to more modern, interactive reporting tools
- Leverage an analytic mindset to develop visualization of key trends and insights for strategic decision making
- Work with a robust data warehouse and reporting tools to deliver high impact production reports used by executives across the organization
- Help build out a robust and scalable reporting and table infrastructure in Google Cloud data warehouse
- Design, develop, automate, and maintain data processes that derive performance measures and dimensions
- Leverage Agile methodologies and best practices recommendations.
Other
- Work directly with business leaders to get beyond the initial “ask” to understand the underlying business needs, critical path, and timeline surrounding key goals
- Collaborate with cross-organizational/functional teams to achieve desired business outcomes
- Adopt leading practices to create efficiencies and drive better results-oriented outcomes
- Perform rigorous testing to assess the quality and accuracy of data and identify inconsistencies with a recommended corrective action play
- Experience with communication/interaction with business partners up to the Managing Director level
