Trustonic
51 - 200 employees
Founded 2012
🚘 Automotive
💼 Consulting
🏥 Healthcare
Automotive • Consulting • Healthcare
Trustonic is a global leader in device-locking technology, offering secure solutions for the mobile, automotive, and IoT industries. Their Telecoms Platform provides sophisticated device-locking capabilities to protect revenue and reduce risk for mobile network carriers, retailers, and financiers. Trustonic’s Secure Platform gives automakers, OEMs, and IoT vendors the confidence to innovate and meet industry standards. Founded in 2012 by ARM, Thales, and G&D, Trustonic combines deep security expertise with real-world experience and certification to deliver top-notch security for billions of devices. Its mission is to connect smartphones and secure devices across various platforms like Android, iOS, and automotive OS.
Data Analyst
🕒 June 23
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Trustonic
51 - 200 employees
Founded 2012
🚘 Automotive
💼 Consulting
🏥 Healthcare
Automotive • Consulting • Healthcare
Trustonic is a global leader in device-locking technology, offering secure solutions for the mobile, automotive, and IoT industries. Their Telecoms Platform provides sophisticated device-locking capabilities to protect revenue and reduce risk for mobile network carriers, retailers, and financiers. Trustonic’s Secure Platform gives automakers, OEMs, and IoT vendors the confidence to innovate and meet industry standards. Founded in 2012 by ARM, Thales, and G&D, Trustonic combines deep security expertise with real-world experience and certification to deliver top-notch security for billions of devices. Its mission is to connect smartphones and secure devices across various platforms like Android, iOS, and automotive OS.
📋 Description
• Transform Business Questions into Insight. • Design and deliver compelling visual stories using modern BI and data visualisation tools. • Build low-latency data pipelines and streaming analytics solutions. • Prepare curated, high-quality datasets for ML training and inference. • Create interactive live dashboards using leading BI platforms. • Implement robust governance frameworks covering naming standards, lineage, classification, and retention. • Design automated validation, anomaly detection, and monitoring systems. • Partner closely with Product, Engineering, DevOps, and Data teams to align analytics with evolving product strategy.
🎯 Requirements
• Demonstrated experience in technology roles, in data analytics or platform analytics. • Proven experience in SaaS or product-centric organisations. • Background working with large-scale datasets such as telecom, IoT, telemetry, or digital platforms. • Hands-on experience designing scalable, cloud-based data environments (AWS preferred). • SQL and Python expertise; JavaScript/NodeJS a plus. • Strong experience with relational and NoSQL systems. • Familiarity with modern data ingestion and orchestration tools. • Understanding of ML pipelines, feature stores, and AI/LLM-based analytics. • Knowledge of GDPR, SOC2, ISO frameworks, and data protection practices. • Bachelor’s degree in Statistics, Computer Science, Data Science, Information Systems, or related field. • Relevant certifications in BI tools, data platforms, or analytics are advantageous. • Fluent in English.
🏖️ Benefits
• Private medical insurance from day one. • An open holiday policy with no upper limit—take the time you need, when you need it. • Support for volunteering and causes that matter to you.
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