Computer Scientist as Project Manager Data Analysis (m/f/x)

Benefits

• Work-life balance - flexible working hours, home office arrangements, credit account (in Germany), e.g. to be used for a sabbatical

• Further development - Company-owned academy, personal development opportunities (defined career paths, technical specializations up to project manager training according to IPMA), challenging tasks in demanding projects

• Security - Permanent employment in a company that has been growing continuously since its founding, attractive compensation with the option of a company car for private use as well

• Corporate culture - flat hierarchies, short decision-making processes, a "you" approach at all levels, a creative, feel-good atmosphere, an open and very good working atmosphere, a culture of mistakes and feedback, a hands-on mentality

• Working environment - equipped with modern work tools, free drinks (coffee, tea, juice, water and soft drinks) and fresh fruit daily

• Other benefits - comprehensive onboarding concept, company events, family service, JobRad

Tasks

• Customer consulting and support in the conception and implementation of innovative Business Intelligence (BI) solutions  

• Responsibility for the implementation of customized BI customer solutions

• Advising the executive board and management as well as supporting the IT departments in their search for a reliable analysis and control system 

• Specification of functional and technical requirements as well as presentation of the overall concept, for example in customer workshops 

• Development of key performance indicator systems as well as conception and implementation of dashboards 

• Organization and execution of user trainings 

• Definition of ETL processes as well as modeling of data

Qualification

• Successfully completed degree in engineering or business administration with a minor in computer science or similar.

• Several years of consulting experience in the Qlik environment

• Experience in responsibility as a project manager 

• Strong technical and business knowledge

• Sound application knowledge of relational databases and analysis tools (e.g. QlikView, Qlik Sense, Power BI, Tableau) 

• Very good knowledge of German and English