Associate - Deals Advisory - Shared Delivery Services (Data Analytics)

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:

• Apply a learning mindset and take ownership for your own development.
• Appreciate diverse perspectives, needs, and feelings of others.
• Adopt habits to sustain high performance and develop your potential.
• Actively listen, ask questions to check understanding, and clearly express ideas.
• Seek, reflect, act on, and give feedback.
• Gather information from a range of sources to analyse facts and discern patterns.
• Commit to understanding how the business works and building commercial awareness.
• Learn and apply professional and technical standards (e.g. refer to specific PwC tax and audit guidance), uphold the Firm's code of conduct and independence requirements.

Job description Data Analytics

• Leverage data analytics technologies to help our clients maximize the value of their data by generating actionable insights that provide real business outcomes.

• Work effectively cross engagement team members in analyzing data into obtaining business insights and research outcomes.

• Manage work streams and project deliverables with other team members. Build strong internal relationships within Advisory services with other services across organizations.

Requirements

• Minimum Bachelor's Degree in Data Analytics, Business Studies or equivalent, minimum GPA 3.0/4.0 from reputable universities
• For Associate: Fresh graduates are welcome to apply.

• Analytical and problem-solving skills combined with experience in leveraging data analytics to drive insights and business decisions.

• Experience and familiarity in the following analytics and visualization tools such as: R, Python, Power BI or equivalent.

• Comfortable with ambiguity and applying creativity to solve complex problems.

• Demonstrated ability to adapt quickly and manage an environment of rapid change and development, and lead others through this process.

• Readiness to learn and eagerness to grow, not only in technical but also business acumen

• Strong attention to details and ability to multitask.

• Team player with good communication skills.

• Preferably, have a certification related to Data Analytics.

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

Job Posting End Date