At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. As a Deals Technology and Data Solutions Associate, you will engage in the dynamic world of data and analytics, focusing on data analysis to uncover insights that drive business decisions. You will work closely with clients, applying your skills in financial data mining, data modeling, and risk analysis to deliver impactful solutions.
Requirements
- 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.
- Conducting complex data analysis to extract meaningful insights and support decision-making processes.
- Utilizing Alteryx and Microsoft Power Query for data automation and transformation tasks.
- Developing and implementing data models to enhance business data analytics and predictive analytics capabilities.
- Creating and maintaining data visualizations using tools such as Tableau and Power BI to effectively communicate insights.
- Engaging in analytic research to identify trends and patterns in large datasets.
- Applying machine learning techniques to develop data-driven insights and solutions.
- Reviewing data security and validation to maintain data integrity throughout its lifecycle.
- Supporting client engagements by providing data analysis and customer insights.
- Collaborating with team members to deliver quality work and meet project objectives.
- Adapting to dynamic project requirements and contributing to the development of innovative data solutions.
- Building a foundational understanding of data modeling, data integration, and data pipeline management.
- Growing personal skills and knowledge in data analysis and business data analytics.
- Utilizing tools such as Alteryx, Microsoft SQL Server Data Tools, and Python for data processing and analysis.
Benefits
- Medical
- Dental
- Vision
- 401k
- Holiday pay
- Vacation
- Personal and family sick leave
