Εκδήλωση ενδιαφέροντος
Τίτλος Αγγελίας:
2.5.2 Επαγγελματίες βάσεων δεδομένων και δικτύων
Όνομα Εταιρίας:
Tsakos Energy Navigation Ltd
Αριθμός Δημοσίευσης:
18098
Ημερομηνία Δημοσίευσης:
21/11/2025
Είδος Εργασίας:
undef
Σύνοψη:
Any reference to salary is an annual net amount in euro (14 months).
Tsakos Energy Navigation Ltd
2.5.2 Επαγγελματίες βάσεων δεδομένων και δικτύων
Περιγραφή
The company
Founded in 1993 and celebrating 32 years as a public company, TEN is one of the first and most established public shipping companies in the world. TEN's diversified energy fleet currently consists of 82 vessels, including ten DP2 shuttle tankers, three VLCCs, one scrubber fitted suezmax vessel, two scrubber-fitted MR product tankers and five scrubber-fitted LR1 tankers under construction, consisting of a mix of crude tankers, product tankers and LNG carriers totaling approx. 11 million dwt.
TEN together with its affiliated companies provide a wide spectrum of employment opportunities and, thus, is seeking to enhance its dynamic team by recruiting dedicated, high-calibre professionals to join the workforce.
Business Intelligence (BI) Analyst
Main duties and responsibilities
• Gather and analyze data from multiple sources, including external ERPs and company’s ERP application;
• Identify trends in each dataset;
• Perform root cause analysis on operational inefficiencies, such as: (Delays , Excessive fuel usage , Unexpected maintenance needs )
• Develop interactive dashboards and reports to monitor KPIs
• Utilize Power BI tools to create real-time dashboards.
• Provide automated alerts and notifications for operational risks or compliance breaches.
• Integrate and manage on-premise and cloud-based maritime databases
• Develop ETL pipelines to automate data collection from vessel sensors and ship logs
• Support commercial, technical, and operations teams with data-driven insights.
• Ensure data accuracy, consistency, and integrity across vessel reports and shore-based ERP systems.
• Standardize data collection from vessels to improve reporting reliability and reduce human errors
• Implement predictive maintenance models using historical defect reports.
Qualifications
• University or degree in computing or a related subject, such as Computer science, Information technology, Mathematics, Business information systems;
• Experience in software development with a minimum two (2) years will be an asset;
• Specialization in specific programming languages used for the pruprose
• Experience in working with databases and multiple data sources;
• Experience in frontend/backend design and development;
• Good communications skills;
• Ability to word with a team
• Very good command in English Language.
Στοιχεία επικοινωνίας
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