Specialist 2 - Python Developer - D&A Advisory

Job Description & Summary:

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.

In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage.

You are a reliable, contributing member of a team. In our fast-paced environment, you are expected to adapt, take ownership and consistently deliver quality work that drives value for our clients and success as a team.

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, uphold the firm's code of conduct and independence requirements.

Optional Skills:

• Accepting Feedback
• Active Listening
• AI Fluency
• AI-Human Collaboration
• Applied Macroeconomics
• Business Case Development
• Business Data Analytics
• Business Intelligence and Reporting Tools (BIRT)
• Business Intelligence Development Studio
• Communication
• Competitive Advantage
• Continuous Process Improvement
• Data Analysis and Interpretation
• Data Architecture
• Database Management System (DBMS)
• Data Collection
• Data Pipeline
• Data Quality
• Data Science
• Data Visualization
• Digital Tooling
• Emotional Regulation
• Empathy
• Geopolitical Forecasting