26 set - Provincia di Varese
Satispay
As Data Analyst - Analytics Engineering, you will shape data strategy and build scalable, AI-enabled data assets to empower decision-making. You will join the Growth & Marketing analytics team, driving intelligent insights across the consumer funnel. Expect to design data models and pipelines that align with a federated data strategy, and develop AI-powered workflows and dashboards that help stakeholders act on data. This role offers ownership of data architecture, analytics tooling, and cross-functional impact in a fast-changing, growth-focused environment.Possiede le competenze, l'esperienza e la determinazione necessarie per avere successo in questo ruolo? Lo scopra qui sotto.Health insurance for employees and familyStock Option PlanRelocation supportInternal mobility opportunitiesUnlimited PTO and hybrid/work flexibilityLead design of the Data Mesh layer with scalable data models and governed ownershipDefine and implement AI-powered agentic workflows for data transformation and explorationBuild high-impact visualisation tools and dashboards to communicate insightsAnalyse complex datasets to identify patterns affecting Acquisition, Engagement, Retention, MonetisationPartner with Marketing, Finance, Operations, and Product to align data work with business goalsOwn end-to-end testing pipeline from opportunity identification to experiment results5+ years in data-related roles (Data Engineering, Analytics, BI) with 3+ years in high-volume/big data environmentsStrong command of SQL, dbt, and PythonExperience with Data Modelling, ETL, data governance, and xysqume Data Mesh at scaleAI fluency with ability to work with AI tools or agent APIsAnalytical problem-solving skills and ability to deliver evidence-based recommendationsStakeholder management and communication skills to lead cross-domain initiativesKnowledge of Digital Consumer Lifecycle and user economics (ARPU, CAC, LTV)teamworkownershipSQLdbtPythonData Analyst - Analytics Engineering
- varese, lombardia, it#J-18808-Ljbffr
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