About the Company
SEIA is young company based in Munich that offers advanced data analytics solutions for compliance risk management to support multinational companies. Multinational companies are required to comply with a variety of regulatory schemes that seek to promote international peace and security.
At SEIA, we constantly seek to innovate new solutions to support these companies in effective and efficient compliance risk management, by identifying risks in areas like Sanctions, Export Controls, and Customs. Our mission is to make doing the right thing good for businesses.
We have an energetic team committed to making a difference in international security, one company at a time. Our company culture is based on integrity and respect for our colleagues, clients, and the work that we do, while supporting creative and innovative approaches to global issues.
As we continue to grow, we are in search of a new team member to join our dynamic technical team. If you are ready to make a significant impact, contribute to building our future, and excel in a collaborative and growth-oriented environment, we invite you to apply.
This is a full-time hybrid role for a Data Analyst. The Data Analyst will be responsible for day-to-day tasks such as data modeling, statistical analysis, and communication with clients. The position is primarily located in Munich, but exceptions for remote work can be discussed.
As a member of our team, you will have the opportunity to work closely with the company's founders and client's to implement projects and drive innovation. The role will involve technical project management, customer success, and continuous product improvements. Your contributions will be critical to the success of our company as we continue to grow and expand.
• The role is hybrid with in-office and at-home flexibility M-F.
• Travel is not expected, but may on a rare occasion be required.
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Experience with SQL
Analytical Skills and Data Analytics experience
Statistical knowledge and experience with statistical analysis tools
Excellent written and verbal communication skills
Data Modeling experience
Experience working in a team environment
Experience in technical project management
Bachelor's degree in a related field such as Mathematics, Computer Science, or Statistics
Any experience in the field of international trade or logistics is a plus