Analytics engineer

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/78dxuj

Position Overview We are looking for an experienced and autonomous Analytics Engineer to join our AI & Data function. This role sits at the critical intersection between our Data Management team—responsible for ingesting raw data into our Databricks-based data platform—and our Analytics team—responsible for insights and reporting. You will take raw data, at various stages of conformance, and transform it into trusted, analytics‐ready datasets—building KPIs, semantic models, and data products that feed our presentation and reporting layers. Working across a wide variety of data domains (marketing, product usage, customer care, revenue, and more), you will need to be intellectually curious, self‐directed, and proactive: comfortable exploring unfamiliar data landscapes with limited guidance, engaging business partners to understand what the data really means, and making sound judgement calls independently. You will report to the Director of Analytics and work closely with data engineers, analytics engineers, and business stakeholders across the group.



Key Responsibilities Design and build robust dbt models on Databricks that transform raw, ingested data into clean, conformed, and analytics‐ready datasets. Define and implement KPI logic in collaboration with business and analytics stakeholders, ensuring consistent definitions across domains. Maintain and evolve the semantic/presentation layer, ensuring data products are reliable, tested, documented, and performant. Apply software engineering best practices to analytics code: version control, testing, CI/CD, and documentation. Independently onboard new data domains (e.g., marketing attribution, product usage, customer care, subscription data) with limited guidance—exploring the data, understanding its structure and meaning, and deciding how to best model it. Proactively engage business partners and domain owners to understand context, validate assumptions, and align on KPI definitions. Identify data quality issues early

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/78dxuj