Analytics Engineer

Location: Belgrade / Novi Sad Work Arrangement: Hybrid – minimum 2 days per week office attendance required About Daon Daon is a global leader in the defence against digital identity fraud and AI-generated synthetic identities. For over a quarter of a century, we have partnered with governments and leading enterprises to deliver secure, seamless identity experiences across financial services, telecommunications, healthcare, travel, and critical infrastructure. Our TrustX platform enables organisations to orchestrate secure, scalable, cross-channel identity workflows, supporting identity verification, biometric authentication, and lifecycle management across complex environments. More than two billion identities worldwide have been safeguarded by Daon technology. Recognised as a leading provider by multiple analyst firms including Gartner®, Kuppinger Cole, and Frost & Sullivan®, Daon is at the forefront of shaping the future of identity security. Role Summary: Our Data Analytics function is expanding their scope from foundational Business Intelligence to gain insights from more complex data sources. This role will be essential in unlocking more of our internal data for business and product development leadership to help them plan and make strategic decisions for Daon’s continued growth and development. Key responsibilities will be assisting and consulting in the maintenance and improvement of our existing data warehouse and reporting interfaces, as well as building out new data pipelines and analytics capabilities. A strong drive to work independently and to always maintain the highest standards and keep up with evolving technologies and best practices is essential, as is the ability to recognize value in data and the ability to communicate this to business stakeholders. The individual in this role will heavily influence business processes and is expected to help the company run at maximum efficiency. This is an exciting opportunity offering a high level of responsibility and the chance to have a significant impact on the company's performance and growth. What You'll Do: 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 to support analytics and reporting across finance, product, sales, and company leadership. Refactor and optimize dbt projects, streamline model structure, and enhance semantic layers. Lead migration and cleanup of legacy data sources and pipelines to reduce technical debt and increase reliability and performance. Manage and optimize the Snowflake environment, including access, cost controls, performance tuning, and maintenance of tables. Assist in maintenance of analytics models supporting 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. Continuously assess and implement new analytics tools and capabilities, such as reverse ETL or AI-enabled workflows, where business value is clear and measurable. Knowledge & Experience: Experience as a data or analytics engineer using modern analytics stacks. Advanced SQL proficiency and hands-on experience with dbt in production environments. Experience working with cloud data warehousing platforms; familiarity with Snowflake preferred. Strong understanding of data warehousing, dimensional modeling, and semantic layer design for analytics and reporting. Familiarity with CI/CD methodologies and software engineering best practices for analytics workflows. Working knowledge of AWS cloud services, particularly object storage and data ingestion. Proficiency with BI and data visualization tools such as Tableau. Previous exposure to Python and emerging AI-enabled analytics tools is advantageous. Experience with SaaS business models, including product usage as well as relevant revenue metrics preferred but not essential. Personal Traits & Characteristics: Self-driven and independent, with strong ownership of end-to-end analytics processes. Analytical and inquisitive, able to transform ambiguous challenges into actionable solutions. Effective communicator, capable of conveying technical concepts and analytical findings to non-technical stakeholders. Outcome-focused, balancing technical standards with business priorities and delivery timelines. Meticulous, maintaining high standards for data quality, reliability, and documentation. Adaptable and forward-thinking, enthusiastic about evolving technologies and continuous improvement. Trustworthy and discreet handling sensitive commercial, financial, and customer data. What You Have: Bachelor's degree (any discipline) with ECTS grade A/B+ or equivalent Minimum 3 years of experience as a data/analytics engineer, strong SQL skills, and at least one year using dbt. Proficient with CI/CD methodologies. Familiarity with AWS services, especially object storage. Understanding of metrics and log observability tools. Skillful with data visualization tools such as Tableau. Experience with data warehousing platforms, Snowflake preferred, including RBAC. Prior experience with Python and agentic AI tools is preferred. Fluent in English. What we offer : Health Private health insurance that covers you and your family members Monthly sports motivation budget Company-sponsored life & accident insurance Team Events Summer and holiday company sponsored events Regular team sports and social events, outings and socializing Frequent team meals and office sweet days Development Knowledge sharing sessions and meetups Individual approach to the development of each person Environment that strives to empower employees by utilizing the latest technologies Organization Hybrid approach with 2 days in office per week to strengthen collaboration, build meaningful relationships, and enable faster, more effective decision‑making. Total process ownership goal, with all the necessary help along the way Join the brightest minds from around the globe as we build the future of digital identity! Daon is an Equal Opportunity Employer and is committed to fostering an inclusive and diverse workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, or any other legally protected status. We celebrate diversity and are dedicated to creating an environment where all employees feel valued, respected, and supported.