(Senior) Data Analyst / Scientist

<h2 style="text-align:start;"><strong>Your benefits</strong></h2><p style="text-align:start;min-height: 1.7em;"></p><ul><li><p><strong>Corporate Benefits:</strong> You will receive a best-in-class benefits package including, for example, an electric lease car or mobility budget, laptop &amp; mobile phone, work from home budget, 25 holidays + optional to buy 5 days extra a year and pension contributions.</p></li><li><p><strong>Flexible Working:</strong> Your plans are as unique as you are. Choose your place of work flexibly – whether in one of our office locations or remotely.</p></li><li><p><strong>Mentorship:</strong> Experienced colleagues will support you during your start and development.</p></li><li><p><strong>Personal Development:</strong> Look forward to responsible tasks with a high degree of creative freedom, a steep learning curve, and an extensive range of training courses.</p></li><li><p><strong>Team Spirit:</strong> We embrace flat hierarchies and a team-oriented corporate culture. Ecological responsibility and social commitment are part of our DNA.</p></li><li><p><strong>Remuneration Model:</strong> Benefit from our attractive model, including a performance-related bonus.</p></li><li><p><strong>Work-Life Balance:</strong> We offer a wide range of options, including sabbaticals and workcations.</p></li></ul><p style="text-align:start;min-height: 1.7em;"></p><p style="text-align:start;min-height: 1.7em;"></p><h2 style="text-align:start;"><strong>Your future tasks</strong></h2><p style="text-align:start;min-height: 1.7em;"></p><p style="text-align:start;">As a (senior) Analyst Data Science or Analytics&nbsp;you collaborate&nbsp;with clients and team members to analyze data, create valuable visualizations, and develop data-driven recommendations.</p><p style="text-align:start;">Furthermore;</p><ul><li><p>Experience in data science and analytics.</p></li><li><p>Strong problem-solving skills and a fresh perspective on projects.</p></li><li><p>Setting up ETL pipelines for data processing.</p></li><li><p>Designing and developing data storage using cloud technologies (AWS, Azure, GCP).</p></li><li><p>Applying machine learning and AI techniques to create value for companies.</p><p style="min-height: 1.7em;"></p></li></ul>