Data Graduate

About Signal Ocean: Signal Ocean is the technology arm of the Signal Group. Our primary product, The Signal Ocean Platform, enables shipping professionals to securely handle, integrate, and assess intricate collections of private and public shipping data. Driven by advanced machine learning and artificial intelligence technologies, the platform provides tailored, exclusive insights that support our clients in achieving performance and efficiency. About the role: At Signal, we are committed to finding people who are respectful, inclusive, and team players, embodying these values in every role.

What you will do in this role:

• Operational Monitoring: Monitor daily data quality and key metrics, perform necessary data curation (cleansing, transformation, and maintenance), and take corrective actions as needed.
• Data Quality & Curation: Proactively monitor and verify the accuracy and consistency of core voyages data, specifically focusing on complex areas like Dark/Grey Fleet activity.
• Analytical Support: Utilize the shipping data lake to conduct ad-hoc data analysis and provide clear, direct answers to relevant business questions.
• Automation & Scripting: Perform simple, contained coding assignments (e.g., using Python/SQL) to automate data quality checks and streamline workflows.
• Data Organization: Consolidate and organize data for business analysis and reporting purposes.
• Reporting & Visualization: Analyze, visualize, and clearly present data results and insights to the team and relevant stakeholders.
• Domain Development: Utilize and expand shipping domain knowledge.

What you bring to the team:

Academic background in either Engineering/Informatics/Mathematics Talent and effectiveness in discovering and using references/resources/datasets on the Internet Passion for data quality and high attention to detail Practiced skills in manipulating data in SQL, Google Sheets/Microsoft Excel, or other similar technology Coding knowledge in Python or R A keen interest in learning more about commodities lifecycle and trading Good organization skills, attention to detail and willingness to work in and help the team Capacity for professionalism and willingness to integrate into a corporate culture Excellent command of written and spoken English

Experience in the following may also be positively evaluated:

Data Analysis initiatives Data Engineering / Science concepts (e.g. remote learning courses completed) What we Offer

• Generous compensation with additional performance incentives.
• Coverage under the company’s collective health insurance plan.
• Opportunity to work alongside experienced people with deep knowledge in software engineering, data science & shipping business who are always eager to mentor.
• Signal’s hybrid remote work policy currently includes 9 working days at premises per month, during which happy hour events take place

2-4 weeks of onboarding training to prepare you for your new role, having the opportunity to meet about 30 trainers while diving deep into our products and/or the shipping world.

• Career growth opportunities and a structured development discussion every 4 months.
• Personal learning budget for training, seminars, conferences (750 to 2000 EUR annually depending on seniority).

Fun and well-equipped work environment that includes our in-house restaurant with healthy, freshly cooked lunches every day, ping pong & billiard tables. Regular team bonding events and activities. All applications will be considered while upholding the terms and conditions of privacy in compliance with personal data protection regulations. We are an Equal Opportunity Employer dedicated to promoting diversity and inclusivity in the workplace. At Signal, we believe that a variety of perspectives, approaches, and viewpoints are essential for our innovation and success, and we support this through our hiring, development, and rewards practices. We prohibit discrimination and harassment of any nature, such as those based on race, color, gender, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other legally protected characteristics, and we take steps to eliminate such behaviors from our workplace.