data analyst for digital identity security

Daon develops identity security solutions that protect against digital identity fraud and AI-generated synthetic identities. Its TrustX platform supports identity verification, biometric authentication, and lifecycle management across financial services, telecommunications, healthcare, travel, and critical infrastructure.

• Develop, optimize, and maintain core business and SaaS product metrics, focusing on product usage, customer behavior, and revenue analytics
• Design and build scalable ELT/ETL pipelines for analytics and reporting across finance, product, sales, and company leadership
• Refactor and optimize dbt projects, streamline model structure, and enhance semantic layers
• Lead the migration and cleanup of legacy data sources and pipelines to reduce technical debt and improve reliability and performance
• Manage and optimize the Snowflake environment, including access, cost controls, performance tuning, and table maintenance
• Assist in maintaining analytics models for CRM and go-to-market reporting, including HubSpot pipeline and activity data
• Document data models, pipelines, and key metrics to support consistent reporting and self-service analytics
• Assess and implement new analytics tools and capabilities, such as reverse ETL or AI-enabled workflows, where business value is clear and measurable

• Bachelor's degree in any discipline with ECTS grade A/B+ or equivalent
• At least 3 years of experience as a data or analytics engineer
• Strong SQL skills and at least one year of experience using dbt
• Proficient with CI/CD methodologies
• Familiarity with AWS services, especially object storage and data ingestion
• Understanding of data warehousing, dimensional modeling, semantic layer design, and metrics and log observability tools
• Experience with cloud data warehousing platforms, including RBAC
• Proficiency with data visualization tools such as Tableau
• Fluent in English
• Self-driven and independent, with ownership of end-to-end analytics processes
• Analytical and inquisitive, able to turn ambiguous challenges into actionable solutions
• Effective communicator, able to explain technical concepts and analytical findings to non-technical stakeholders
• Outcome-focused, balancing technical standards with business priorities and delivery timelines
• Meticulous about data quality, reliability, and documentation
• Adaptable and forward-thinking, with an interest in evolving technologies and continuous improvement
• Trustworthy and discreet when handling sensitive commercial, financial, and customer data
• Будет плюсом: Snowflake, Python, agentic AI tools, experience with SaaS business models and related product usage and revenue metrics

• Private health insurance covering the employee and family members
• Monthly sports motivation budget
• Company-sponsored life and accident insurance
• Summer and holiday company-sponsored events, regular team sports and social events, outings, team meals, and office sweet days
• Knowledge-sharing sessions and meetups, an individual approach to employee development, and an environment that uses the latest technologies
• Hybrid schedule with 2 days in the office per week