Associate - Tax Technology

Drive data management activities for Pillar Two compliance engagements, including data transformation, validation, reconciliation, and analytics to support accurate and efficient client delivery. Coordinate with tax, technology, and client service teams across Switzerland and the global PwC network to contribute to the end-to-end Pillar Two compliance process. Enhance and maintain the Pillar Two injection workflow by updating templates, validation rules, and supporting processes to improve quality, consistency, and scalability. Analyse complex datasets using technology and data analytics tools to identify issues, generate insights, and support compliance reporting requirements. Contribute to the ongoing development of PwC's Pillar Two technology solutions and help shape sustainable processes that support growing client demand. Strengthen operational resilience by supporting business-critical compliance technology solutions and collaborating closely with client-facing teams to deliver an exceptional client experience.

At PwC Switzerland, we help clients build trust and reinvent so they can turn complexity into competitive advantage. We're part of a tech-forward, people-empowered network and help clients build, accelerate and sustain momentum across audit, assurance, tax, legal, workforce, deals and consulting.

• University degree in Business Informatics, Computer Science, Economics, Data Analytics, or a related field.

• Strong interest in tax and regulatory topics combined with experience in digitising, automating, or improving business processes.

• Practical experience with data analytics and visualisation tools such as Alteryx, Power BI, or similar technologies.

• Knowledge of at least one programming or technical language such as Python, SQL, Java, C++, or XML.

• Customer-oriented mindset with the ability to build trusted relationships and proactively identify opportunities for improvement.

• Strong analytical and problem-solving skills with a structured and detail-oriented approach to working with large datasets.

• High level of ownership, commitment, and motivation to deliver high-quality results in a dynamic and evolving environment.

• Excellent communication skills in English; additional language skills are considered an asset.