Digital Assurance & Transparency (DAT) Data Intern - Summer 2025
CA-Silicon Valley
Internship, Full-time
Onsite
$30.75/hr - $40.75/hr
Intern/New Grad
PwC is committed to building trust in society and solving important problems. As a Digital Assurance & Transparency Data Intern, you will assist clients in developing data and technology solutions that enhance trust and risk management, while working closely with teams to analyze and mitigate risks using advanced analytics and automation tools.
Responsibilities
- Support select phases of a financial statement audit
- Support consulting projects and/or a system implementation program
- Support data analysis
- Identify anomalies in client data
Qualification
Required
- Learning how the development and maintenance of digital solutions is governed via portfolio, program, and team management
- Understanding risks and leading practices in project management, Systems Development Life Cycles, and agile techniques
- Understanding end-to-end business processes across various ERP systems or cloud based solutions (Salesforce, SAP, Workday, Oracle and other industry-specific systems)
- Learning and applying data analytics techniques while utilizing problem solving skills to conduct quantitative and qualitative analyses using a diverse set of technology applications and tools (i.e. Excel, SQL, R, Python, Tableau, Alteryx, etc)
- Learning the risk and controls in the business process and the application and database layer
- Utilizing critical thinking that breaks down complex problems, understands root causes, and proposes viable solutions while maintaining quality
- Working in collaborative and team based environment, delivering with diverse global client, PwC and third-party teams, and learning accounting principles and business processes
- Learning how to evaluate, cleanse, design, and implement data models using data mining techniques; understand business intelligence and relational database concepts
- Understanding big data objectives, concepts, and technologies
- Identifying and incorporating tools and techniques using technology applications (e.g. Microsoft SQL Server, Access/Excel, Visual Basic, R, Python, SAS, Stata, Alteryx) and build reporting capabilities through data visualization (e.g. Tableau, Spotfire, Qlikview)
- Demonstrating knowledge of descriptive analytics, predictive analytics, machine learning principles, Artificial Intelligence (AI), robotic process automation (RPA), project management, software and solution implementation methodologies
- Demonstrating interest to independently learn business processes and technologies
- Understanding various facets of business and/or IT processes, concepts of enterprise risk, internal controls, ERPs and CRMs, cloud solutions, corporate compliance and regulatory mandates, portfolio, program, and agile team management, technical aspects of information systems, financial reporting concepts, & systems development methodology
Preferred
- Medical
- Dental
- Vision
- 401k
- Holiday pay
- Vacation
- More