Intern / Trainee

Job Description

About PwC:

PwC’s Digital Assurance and Transparency (DAT) practice is at the forefront of innovation, offering tech-enabled solutions focused on trust and transparency. They help clients navigate the complexities of the digital world and build trust in their businesses. The Data team within DAT specializes in developing data, analytics, and technology solutions that improve efficiency, detect risks, and drive growth.

Job Description:

Intern / Trainee in PwC’s Data team will gain valuable experience in:

• Supporting various aspects of a financial statement audit: This will expose you to the audit process and help you understand financial reporting concepts.
• Assisting with consulting projects and system implementation programs: You’ll gain practical insights into real-world business challenges and learn how technology solutions are applied.
• Supporting data analysis: This will involve using advanced analytics, data wrangling techniques, and automation tools to uncover insights and trends from client data.
• Identifying anomalies in client data: This requires sharp analytical skills and attention to detail to spot irregularities and potential risks.

Key Responsibilities:

• Contribute to research, analysis, and problem-solving using a variety of tools and techniques.
• Produce high-quality work adhering to professional standards.
• Keep up-to-date with technical developments in the field of data analytics.
• Handle, manipulate, and analyze data responsibly.
• Communicate effectively, both verbally and in written materials.
• Embrace diverse perspectives and contribute to a collaborative work environment.
• Uphold PwC’s code of ethics and business conduct.

Qualifications:

• Minimum: Bachelor’s degree in Accounting, Management Information Systems, Analytics, Computer Programming, Computer and Information Science, or Business Administration/Management.
• Required: A minimum GPA of 3.0.
• Preferred: Client service intern positions are entry-level and typically involve students in their 3rd or 4th year of a degree program. Internships usually occur during the winter/spring or summer before graduation.

Skills:

• Demonstrate an understanding of the development and maintenance of digital solutions governed by portfolio, program, and team management.
• Show knowledge of project management, Systems Development Life Cycles, and agile techniques.
• Have a comprehension of end-to-end business processes across various ERP systems and cloud-based solutions (e.g., Salesforce, SAP, Workday, Oracle).
• Demonstrate proficiency in data analytics techniques, utilizing problem-solving skills to conduct quantitative and qualitative analyses with tools like Excel, SQL, R, Python, Tableau, Alteryx, etc.
• Have a grasp of risk and controls within business processes and at the application and database layer.
• Exhibit strong critical thinking skills to break down complex problems and propose viable solutions.
• Demonstrate experience working collaboratively in team-based environments.
• Possess knowledge of data models, data mining techniques, business intelligence, and relational database concepts.
• Show understanding of big data objectives, concepts, and technologies.
• Demonstrate proficiency in technology applications (e.g., Microsoft SQL Server, Access/Excel, Visual Basic, R, Python, SAS, Stata, Alteryx) and data visualization tools (e.g., Tableau, Spotfire, Qlikview).
• Have knowledge of descriptive analytics, predictive analytics, machine learning principles, Artificial Intelligence (AI), robotic process automation (RPA), project management, and software and solution implementation methodologies.
• Demonstrate interest in independently learning business processes and technologies.
• Possess an understanding of various facets of business and/or IT processes, including concepts of enterprise risk, internal controls, ERPs and CRMs, cloud solutions, corporate compliance, regulatory mandates, portfolio, program, and agile team management, technical aspects of information systems, financial reporting concepts, and systems development methodology.

This internship offers a great opportunity for individuals interested in data analytics, technology, and building a career in the field of digital assurance and transparency.