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Open nowFirst seen 25 hours ago

Analytics Engineer

Clutch96 open roles

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Your applicationOpen nowAnalytics EngineerClutch

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The clock on this job

Early applications get read.

15.1% of postings close within 7 days. Measured by our own scanner across the market. Clutch postings stay open a median of 1 days.

Share of postings closed within
  1. 2.4%1 day
  2. 6.5%3 days
  3. 15.1%7 days
This job: first seen 25 hours ago

Clutch median: 1 days open

The posting

Il nostro cliente è una realtà tecnologica in forte crescita che sta ridefinendo il settore legale attraverso soluzioni avanzate di intelligenza artificiale, oggi adottate da migliaia di professionisti in Europa. In un momento di rapida espansione e consolidamento della propria piattaforma, l'azienda sta cercando una figura di Analytics Engineer.

Principali responsabilità

  • Gestirai il layer di data transformation, dalle sorgenti grezze a dataset affidabili e documentati, progettando e mantenendo un progetto dbt su BigQuery articolato in livelli (staging, intermediate e mart).
  • Modellerai gli eventi di product analytics (interazioni utente, adozione di feature, segnali di feedback), le metriche di ingegneria e i KPI di business in modelli dati affidabili e self-service.
  • Costruirai e manterrai le fondamenta dei dati che alimentano i nostri dashboard, i processi decisionali e le metriche di salute del team.
  • Implementerai framework di data quality: test, controlli di freschezza dei dati, rilevamento di anomalie e definizione chiara di ownership e SLA sui dataset principali.
  • Collaborerai con gli ingegneri per migliorare l'event tracking e i data contract alla fonte (Pub/Sub, eventi applicativi).
  • Creerai e curerai dashboard e layer semantici che i team Product, CS e Sales possano interrogare direttamente, abilitando una vera analisi self-service.
  • Lavorerai a stretto contatto con il team AI & Search Platform per tracciare e misurare le performance dei modelli, i cicli di feedback e i risultati dei benchmark.
  • Supporterai i team di Prodotto con analisi ad-hoc: impatto delle funzionalità, segmentazione degli utenti, trend di soddisfazione e comportamento dei "power-user".

Requisiti

  • Oltre 3 anni di esperienza in ruoli di analytics engineering, data engineering o come data analyst con una forte mentalità ingegneristica.
  • Competenze esperte in SQL ed esperienza pratica con dbt (dbt Core o dbt Cloud).
  • Solida esperienza con BigQuery o data warehouse cloud comparabili (Snowflake, Redshift).
  • Forte comprensione della modellazione dimensionale, dei test sui dati e delle pratiche di "documentation-as-code".
  • Dimestichezza con l'ecosistema Python (scripting, ETL di base, notebook per l'esplorazione dei dati).
  • Esperienza nella creazione di modelli dati al servizio di molteplici stakeholder (prodotto, ingegneria, business).
  • Inglese fluente; la conoscenza dell'italiano è un forte valore aggiunto.

Nice to have

  • Esperienza con architetture event-driven (Pub/Sub, Kafka) e streaming di dati.
  • Familiarità con Elasticsearch, Pinecone o database vettoriali.
  • Esposizione a metriche di ingegneria (DORA, analisi delle PR) o misurazione della produttività degli sviluppatori.
  • Esperienza con strumenti di BI/visualizzazione (Retool, Looker Studio, Metabase).
  • Interesse nella valutazione di modelli AI/ML e nella misurazione della qualità dell'output degli LLM.
  • Precedente esperienza nei settori legal-tech, RegTech o B2B SaaS.

Offerta

  • RAL indicativa: €45.000 – €70.000, in base alla seniority.
  • Stock option plan legato alla crescita aziendale.
  • Benefit: assicurazione sanitaria, buoni pasto e bonus legati alla performance.
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