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PwC's data and analytics team needs to leverage data to drive insights and make informed business decisions, helping clients optimize operations and achieve strategic goals. This role aims to support these efforts by applying advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making.

Requirements

• Demonstrating proficiency in Python and machine learning
• Utilizing Microsoft Power Query and SQL Server Data Tools
• Excelling in data visualization with Power BI and Tableau
• Conducting thorough statistical and predictive analytics
• Applying data modeling techniques for structured data organization
• Supporting client-focused technology consulting projects
• Engaging in analytic research to develop data-driven insights

Responsibilities

• Supporting teams in data analysis and visualization projects to gain practical experience
• Participating in the development of data-driven insights using tools like Power BI and Tableau
• Assisting in the creation and maintenance of data models to support business analytics
• Conducting research and gathering information to enhance data quality and integrity
• Engaging in algorithm development and machine learning tasks to improve data processing
• Utilizing Python and SQL Server Data Tools for data manipulation and analysis
• Collaborating with team members to validate data security measures and protocols

Other

• Currently pursuing or have completed a Bachelor's degree
• Client service intern positions are entry-level roles intended for job seekers who are in the third year of a four-year degree program or fourth year of a five-year program at the time of application.
• Preference for one of the following field(s) of study: Accounting, Accounting & Finance, Accounting & Technology, Analytics, Business Analytics, Computer and Information Science, Computer and Information Science & Accounting, Computer Programming, Data Processing/Analytics/Science, Engineering, Finance, Finance & Technology, Information Technology, Information Technology & Accounting, Management Information Systems, Mathematical Statistics, Mathematics, Statistics
• Preference for a 3.3 overall GPA
• Up to 80%