About
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.
Responsibilities
•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
Requirements
•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
Nice to have
Snowflake, Python, agentic AI tools, experience with SaaS business models and related product usage and revenue metrics
Conditions
•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
