Technical Project manager - Data Analytics

What you can look forward to as Data Analytics in Technical Project Management (m/f/d):

•   Create, deploy, and operate Data Analyst Solutions as part of our technical Project Management Team in the context of a cross-functional, agile product team

•   Develop data-driven services to improve our technical Project Management during Planning, Coordination, and reporting of technical projects

•   Become a key contact person for data related issues regarding analysis and optimization of our technical Project management processes

•   Usage of Databank (e.g., PTC integrity, SAP, cplace, Codebeamer) information for reports and visualization 

•   Continuously monitor new developments in the expert field and connect with the internal and external data science community as well as external technology providers, universities etc.

•   Ideally some years of professional experience in the field of statistics, working as a Advanced Data Analyst with strong data engineering and Visualization skills.

•   Experience with big data analyses and Databases for data collection will be an advantage

Your profile as Data Analytics in Technical Project Management (m/f/d):

•   Very strong and deep knowledge of Python and relevant libraries for automation and other purposes.

•   Very strong knowledge of Data analyzing, Data cleaning and other data preprocess as a part of Data Analyst

•   Very strong and deep knowledge in Visualization Tools such as Power BI , Power App, Power Automate and Tableau for Interactive Dashboard creation

•   Very strong and deep knowledge of handling various data related tools such as Power Query, DAX Query & Automation of Reports, python scripts from various Data Sources using tools such as Jenkins, SQL 

•   Good knowledge of JIRA software tool with SCRUM framework, AGILE framework & Good knowledge of Share point concept, Share point list etc.,

•   Deep understanding of Bringing Actionable insights from raw data to Dashboard as well as monitoring, troubleshooting, and maintaining existing dashboards and data science solutions & Hands-on Experience in Data Mining, Feature Engineering