Trustonic is hiring a Senior Data Analyst to focus on real-time analytics, AI-driven insights, and data-powered product innovation. You will transform complex business questions into actionable insight, build low-latency data pipelines, and enable AI/ML initiatives across the organization.

What You'll Do

Translate complex business problems into structured analysis and present findings to 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.
Create interactive live dashboards using leading BI platforms.
Empower self-serve analytics across teams through intuitive reporting tools.
Implement robust governance frameworks covering naming standards, lineage, classification, and retention.
Ensure compliance with global regulations and enterprise-grade security practices.
Design automated validation, anomaly detection, and monitoring systems.
Establish trusted single sources of truth for critical business metrics.
Maintain comprehensive data dictionaries, catalogues, and metadata repositories.
Continuously evaluate emerging data patterns and architectural approaches.
Partner closely with Product, Engineering, DevOps, and Data teams.
Design scalable analytics solutions addressing global performance, latency, isolation, and availability needs.

What We're Looking For

Substantial years in technology roles, with 5+ years 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.
Strong experience with dimensional modelling, star schemas, and data marts.
Strong experience with relational and NoSQL database systems.
Experience with Tableau or equivalent BI platforms.
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.
Exceptional communication and stakeholder management skills.
Analytical mindset with strong problem-solving ability.
Adaptable and committed to continuous learning.
Highly organised and capable of managing multiple initiatives.
Innovative thinker with a forward-looking approach to data architecture.
Detail-oriented with a passion for documentation and standards.
Bachelor’s degree in Statistics, Computer Science, Data Science, Information Systems, or related field.
Fluent in English.