Trustonic
51 - 200 employees
Founded 2012
🔒 Cybersecurity
📡 Telecommunications
☁️ SaaS
Cybersecurity • Telecommunications • SaaS
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
🔥 0 minutes ago
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Trustonic
51 - 200 employees
Founded 2012
🔒 Cybersecurity
📡 Telecommunications
☁️ SaaS
Cybersecurity • Telecommunications • SaaS
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
• Collect, manage, clean, enrich, and explore vast datasets to unlock actionable intelligence. • Transform Business Questions into Insight. • Translate complex business problems into structured analysis. • Design and deliver compelling visual stories using modern BI and data visualisation tools. • Present findings clearly to both technical and non-technical stakeholders. • Build low-latency data pipelines and streaming analytics solutions. • Develop automated queries, dashboards, and SaaS-embedded analytics. • Prepare curated, high-quality datasets for ML training and inference. • Support feature stores, model outputs, and data versioning. • Integrate with ML platforms and apply MLOps best practices such as A/B testing and model monitoring. • 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 strategies.
🎯 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. • Experience applying DevOps practices to data pipelines. • Knowledge of GDPR, SOC2, ISO frameworks, and data protection practices. • Bachelor’s degree in Statistics, Computer Science, Data Science, Information Systems, or related field. • 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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