Data Specialist, Recognition Services

Job not on LinkedIn

đŸ”„ 14 hours ago

đŸ‡§đŸ‡· Brazil – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

✹ Data Specialist

đŸ‘» Ghost score 12%

infoinfo

đŸ—ŁïžđŸ‡Ș🇾 Spanish Required

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Logo of TRAX

TRAX

51 - 200 employees

đŸ’Œ Consulting

📩 Logistics

🚀 Aerospace

Consulting ‱ Logistics ‱ Aerospace

TRAX is the undisputed leading provider of aviation maintenance mobile and cloud ERP solutions. Over 200 customers have purchased the eMRO, Trax M&E, and eMobility apps products for their fleets consisting of various types of aircraft including Airbus, Boeing, Bombardier, Embraer, and rotorcraft. Customers include defense and commercial airlines, as well as Maintenance, Repair, and Overhaul shops. TRAX eMRO and eMobility are positioned at the leading edge of industry developments with products that support digital signatures, paperless Workpacks and manuals, RFID-capable for logistics, Biometric security, off-line capability for mobile apps, web-based solutions, and the ability for its users to work anywhere with easy access to real-time information.

📋 Description

‱ Conduct in-depth analysis of large datasets to produce insightful reports for clients ‱ Regularly monitor and ensure the quality of the image recognition system and its dataset ‱ Act as the go-to expert on recognition technology in internal meetings and external discussions ‱ Oversee and manage multiple projects involving different clients ‱ Serve as the first point of contact and coordinator between project requirements and back office capabilities ‱ Maintain and manage product information and image databases, ensuring accurate configurations and details are applied

🎯 Requirements

‱ Comfortable using Microsoft Excel and PowerPoint with confidence ‱ Great at analyzing information and paying close attention to detail ‱ Strong problem solver who enjoys tackling challenges ‱ Clear and effective communicator in English & Spanish ‱ Ability to handle multiple projects ‱ Works well independently and knows how to manage time efficiently ‱ Experience with analyzing datasets (preferred) ‱ SQL (preferred) ‱ Python (nice to have)

đŸ–ïž Benefits

‱ Healthcare ‱ Home office allowance ‱ Remote working model ‱ Career path internally ‱ Learning & development opportunities ‱ Working on state-of-the-art technology with an international team

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