Data Analyst Trainee
vor 1 Woche
About Seven Senders
Seven Senders is a rapidly growing e-commerce logistics company dedicated to providing seamless and efficient shipping solutions for businesses of all sizes. We leverage cutting-edge technology and data-driven insights to optimize the supply chain and deliver exceptional customer experiences.
The Business Intelligence Team
Our Business Intelligence team is at the heart of our data-driven culture. We empower stakeholders with actionable insights through advanced analytics, self-service BI tools, and streamlined workflows. By merging internal and external data from across the 7S supply chain within our central data hub, we drive informed decision-making and optimize operational efficiency.
Your Role as a Data Analyst Trainee
As a Data Analyst Trainee, you will play a vital role in supporting our Business Intelligence team. You will gain hands-on experience working with complex data sets, advanced analytical tools, and industry-leading technologies.
Responsibilities:- Assist in maintaining data integrity and accuracy within our data warehouse.
- Contribute to ad-hoc data analysis projects, providing valuable insights to stakeholders.
- Extract, clean, and analyze large volumes of data from various sources.
- Collaborate with the team on data modeling and visualization initiatives.
- Support continuous improvement efforts by identifying opportunities for process optimization.
- Pursuing a degree in Business Informatics, Computer Science, or a related field.
- Proficiency in Microsoft Office Suite (Excel, PowerPoint).
- Strong analytical and problem-solving skills.
- Eagerness to learn new technologies and tools, particularly in the realm of data analysis.
- Excellent communication and interpersonal skills.
What We Offer:
At Seven Senders, we are committed to fostering a dynamic and rewarding work environment. We offer:
- A collaborative and supportive team culture.
- Opportunities for professional growth and development.
- Competitive compensation and benefits package.
- A flexible and hybrid work model.
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