Principal Data Analyst – Digital Analytics, Applied AI, BI, Data Strategy & Engineering

6/2017 – 4/2019

● Provided technical leadership for the Analytics skill group within the matrix organization.
● Executed a diverse range of analytics use cases, including customer journey and customer lifetime value analyses, profiling, and other e-commerce/web analyses.
● Assumed ownership of the project to establish a 'Marketing Data Hub' within the marketing department of a group company, which involved requirements gathering, prototypical implementation, reporting, and
training for data-driven marketing management.
● Offered expert consulting and support to group companies in the areas of analytics, Big Data, business intelligence, and actively contributing to comprehensive e-commerce analysis.

Data Science, Big Data, Business Intelligence (BI), Data Mining

3/2013 – 5/2017

● Conducted comprehensive data analysis, created visualizations, and provided recommendations to various departments and the Management Board.
● Played a significant role in a group-wide digital analytics project, overseeing the implementation of e-commerce tracking for over 100 webshops and ensuring a reliable data foundation.
● Served as the technical Project Owner for the development of a group-wide e-commerce reporting system.
● Contributed to the development of a one-of-a-kind innovative application for real-time visualization of e-commerce activities (a showcase at numerous exhibitions and trade fairs).
● Took an active part in the establishment of the Big Data infrastructure for Group BI, introducing new tools, defining data structures and processing pipelines.

Datenanalyse, Big Data, Business Intelligence (BI), Cloud (allg.), Data Mining, Python

9/2010 – 2/2013

● Performed data analysis and provided crucial support to multiple departments across the company, contributing to enhanced data-driven decision-making.
● Managed and optimized the company's reporting infrastructure, laying the foundation for improved data accessibility and reporting efficiency.
● Made substantial contributions to the development of the companies data warehouse by actively participating in defining data structures and processing pipelines.

Business Intelligence (BI), Data Mining, Data Warehousing, Datenanalyse, Reporting