ppAs Analytics Engineer within the AI Data function, you bridge Data Management and Analytics to turn raw data into trusted, analytics-ready datasets.
You will build KPI definitions, semantic models, and data products across domains to feed dashboards and reports.
You'll work autonomously across multiple brands, onboarding new data domains, and partnering with stakeholders to ensure reliable, well-governed data products at pace.
This role combines technical data wrangling with business collaboration to enable data-driven insights at scale.
/pulliDesign and build robust dbt models on Databricks transforming ingested data into clean datasets /liliDefine and implement KPI logic with stakeholders ensuring consistent definitions /liliMaintain and evolve the semantic/presentation layer with reliable, tested, documented data products /liliApply software engineering practices to analytics code (version control, testing, CI/CD, documentation) /liliIndependently onboard new data domains (e.g. marketing attribution, product usage, customer care, subscription data) /liliEngage business partners to validate context, align KPI definitions,



and resolve data quality issues /liliAct as a bridge between data engineers and analysts, translating needs into engineering tasks /liliEnsure presentation layer meets reporting and self-service requirements /liliContribute to data governance through naming conventions, lineage, and model cataloguing /liliSupport expansion of analytics coverage to new brands and domains over time /lili5+ years in analytics engineering or related data role /liliStrong dbt proficiency (dbt Core or dbt Cloud) /liliExperience with Databricks (or Snowflake/BigQuery) /liliSolid understanding of dimensional modeling or data warehousing patterns /liliSQL excellence including complex transformations and window functions /liliAbility to work autonomously across multiple data domains with limited documentation /liliStrong analytical mindset to interrogate data and validate logic /liliExcellent communication with business stakeholders to elicit requirements and explain data concepts /li /ulpAs Analytics Engineer within the AI Data function, you bridge Data Management and Analytics to turn raw data into trusted, analytics-r... /p /p #J-*****-Ljbffr

📌 Senior Analytics Engineer (Firenze)
🏢 Experteer Italy
📍 Firenze