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PricewaterhouseCoopers (PwC) is seeking an Associate in Data Analytics to transform raw data into actionable insights for clients. You will apply advanced analytics, explore data, and build visualizations using R, Python, and Power BI, collaborating across advisory teams in a fast-paced environment.
Fresh graduates are welcome to apply; minimum GPA 3.0/4.0 and a degree in Data Analytics or Business Studies are preferred.
Line of Service
Advisory
Industry/Sector
Not Applicable
Specialism
Deal Strategy
Management Level
Associate
Job Description & Summary
At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.
Those in data science at PwC will focus on leveraging advanced analytics and statistical techniques to extract insights from large datasets and drive data-driven decision making. You will work on exploratory and descriptive analysis, statistical modeling, and creating data visualizations to help solve complex business problems and inform strategic decisions.
Driven by curiosity, you are a reliable, contributing member of a team. In our fast-paced environment, you are expected to adapt to working with a variety of clients and team members, each presenting varying challenges and scope. Every experience is an opportunity to learn and grow. You are expected to take ownership and consistently deliver quality work that drives value for our clients and success as a team. As you navigate through the Firm, you build a brand for yourself, opening doors to more opportunities.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
Job description Data Analytics
Requirements
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required:
Degrees/Field of Study preferred:
Certifications (if blank, certifications not specified)
Required Skills
Optional Skills
Accepting Feedback, Accepting Feedback, Active Listening, AI Fluency, AI-Human Collaboration, Artificial Intelligence, Big Data, C++ Programming Language, Communication, Complex Data Analysis, Data-Driven Decision Making (DIDM), Data Engineering, Data Lake, Data Mining, Data Modeling, Data Pipeline, Data Quality, Data Science, Data Science Algorithms, Data Science Troubleshooting, Data Science Workflows, Deep Learning, Digital Tooling, Emotional Regulation, Empathy {+ 15 more}
Desired Languages (If blank, desired languages not specified)
Travel Requirements
Up to 40%
Available for Work Visa Sponsorship?
No
Government Clearance Required?
No