Working Student Data Analytics & Digital Audit (f/m/d)

KPMG AG Wirtschaftsprüfungsgesellschaft · Kiel · up to 40 hours a week

WerkstudentGerman needed: fluent

Still open on 3 Nov

You apply on the company's own website.

Key facts

Hours: Up to 40 hours a week
Language needed: German and English
Subject you study: Business Informatics, Mathematics, Data Science, Economics

Digital Audit: You support the development and implementation of digital audit routines in Financial Services Audit.
Innovation & AI: You work on innovative projects in data analysis, automation and artificial intelligence.
Modern technologies: You gain insight into tools such as Python, Databricks and Azure Data Lake.
Data preparation & reporting: You support ETL processes and the building of Power BI dashboards for our clients.
Teamwork: You work closely with an interdisciplinary, international team of data scientists, auditors and IT experts.

Studies: You have completed a degree in (business) informatics, mathematics, data science, economics or a similar field.
Technical skills: You have basic knowledge of Python and are interested in data analytics, artificial intelligence and cloud technologies (e.g. Azure, Databricks).
Personal strengths: Analytical thinking, team spirit and willingness to learn new technologies in the audit context set you apart.
Experience (optional): Ideally you already have initial experience in data modelling, ETL processes or reporting tools such as Power BI.
Language skills: You have very good German and English skills.

Digital Audit: You support the development and implementation of digital audit routines in Financial Services Audit.
Innovation & AI: You work on innovative projects in data analysis, automation and artificial intelligence.
Modern technologies: You gain insight into tools such as Python, Databricks and Azure Data Lake.
Data preparation & reporting: You support ETL processes and the building of Power BI dashboards for our clients.
Teamwork: You work closely with an interdisciplinary, international team of data scientists, auditors and IT experts.

Studies: You have completed a degree in (business) informatics, mathematics, data science, economics or a similar field.
Technical skills: You have basic knowledge of Python and are interested in data analytics, artificial intelligence and cloud technologies (e.g. Azure, Databricks).
Personal strengths: Analytical thinking, team spirit and willingness to learn new technologies in the audit context set you apart.
Experience (optional): Ideally you already have initial experience in data modelling, ETL processes or reporting tools such as Power BI.
Language skills: You have very good German and English skills.