Analytics Engineer

About Qualifyze:
Founded in 2019, Qualifyze is a leading company in supply chain compliance management in the Life Sciences industry, trusted by over 1,500 pharmaceutical and healthcare companies globally. Our digital suite of solutions connects manufacturers, suppliers, and a global network of more than 250 auditors and quality experts.

With a track record of over 4,500 audits across 85+ countries and the largest and most accurate supplier network and data analytics tools, Qualifyze stands as the all-in-one partner for quality compliance and supply chain risk mitigation in the Life Sciences sector.

Requirements

Role Overview:; You combine a deep understanding of business logic with the technical capability to build and maintain scalable internal data models and semantic layers.; Main responsibilities:; The team member shall perform the present tasks inherent to such position, including, but not limited to, the following:; Map, document, and evaluate current data models, metrics, and reporting flows. Critically evaluate existing definitions and assumptions, identify inconsistencies, and propose improvements that enable scalability and self-service analytics.; Build and maintain metrics for Investor Reporting using dbt metrics , ensuring they are accurate, well-documented, and aligned with agreed business definitions.; Support the modeling and maintenance of Marts and the last-mile Gold layer , contributing to a robust and scalable semantic layer that serves both operational and analytical use cases.; Ensure consistency between metrics in I nvestor Reporting and in Looker , performing regular cross-checks and validations to guarantee a single source of truth .; Perform data sanity checks from a business logic perspective to validate new data structures before they reach production, catching issues early and reducing downstream errors.; Conduct ad-hoc analyses to support decision-making, unblock stakeholders, and surface actionable insights when needed.; Help define and document business definitions , KPIs , and data processes to ensure a shared understanding across business and technical teams.; Participating in projects involving agentic technologies applied to BI, including multi-agent implementations built with Claude and similar frameworks, innovate and expand what agentic analytics can deliver.; Main requirements:; Strong SQL skills and solid Python proficiency for data transformation, validation, and analytics workflows.; Proven experience building and maintaining dbt models and metrics , including Marts and Gold/last-mile layers.; Solid understanding of semantic layer concepts and BI consistency practices, ideally with hands-on experience in Looker or similar tools.; A strong business logic mindset, able to understand what a metric means, not just how it is calculated, and to spot when something doesn't add up.; Interest in or experience with agentic AI systems , including LLM-powered workflows and multi-agent architectures applied to analytics.; Excellent collaboration and stakeholder communication skills, with the ability to work effectively across business and technical teams.; A proactive, detail-oriented mindset with a passion for data quality, consistency, and continuous improvement.; 💰 Salary; At Qualifyze, our salary ranges are transparent internally, and we aim to follow a similar approach externally. For this role, we’re happy to share a reference point within the band: the expected salary range is around 40k – 50k € , centred around the median.; Final compensation will depend on experience and performance during the process, with some flexibility within the range.; What do we offer?; 💰Competitive, annually reviewed compensation package