Consultant / Senior Consultant - Deal Advisory - Deal Tech

Execute the Extract, Transform, Load (ETL) steps, including assessing client's datasets, identifying missing data, correcting errors, and loading into the appropriate platforms. Develop data architecture, data modeling, and ETL mapping solutions within structured data warehouse environment. Help to design, develop, and support new and current ETL processes employing industry standards and best practices to enhance loading of data from and into different source / target systems. Integrate, validate and manipulate data using SQL, R and Python. Deliver projects by utilizing Alteryx, R, Python or SQL and visualize results in Tableau / PowerBI. Build mathematical models to support the deal and strategy teams. Contribute to the design and operation of solutions on modern cloud platforms. Integrate the use of LLMs in internal as well as external processes.

With 300 different auditing and advisory service opportunities, our people can choose the career path that suits them best. Through our competencies in business transformation as well as ESG consulting, we support our clients in today's biggest challenges. We are a purpose-led and values driven company where your insight can create opportunities for you and contribute to a better future. Do work that matters, supported by a community that values difference and cares about you. Gain learning that'll last you a lifetime and be recognized for the impact you make. Find opportunity everywhere with KPMG.

• Bachelor's or Master's degree in Finance and/or Data Science background preferred

• Preferably 1-3 years of related work experience in a data-driven role

• Advanced knowledge in SQL / R / Python, Alteryx and Tableau / PowerBI

• Azure Cloud or comparable solutions is a plus

• Able to develop and implement ETL routines according to best practice DWH design and architecture

• Written and oral proficiency in English is required, German is a plus

• Highly motivated team player, curious, with a positive attitude