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Data Analytics Engineer

Luzia

Barcelona

Presencial

EUR 50.000 - 70.000

Jornada completa

Hace 25 días

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Descripción de la vacante

A leading company in the AI sector is seeking a Data Analytics Engineer to help analyze and improve key metrics such as acquisition, retention, and monetization. You will design reliable data models, build dashboards, and collaborate across teams to deliver insights that drive decisions in product development. With an exciting role in a fast-paced environment, you will leverage your analytical skills in both technical and business contexts.

Servicios

Competitive salary
Attractive benefits package
Flexible work culture
Opportunities for growth

Formación

  • 4+ years in analytics engineering or data analytics.
  • Strong SQL skills with experience in data warehousing.
  • Comfortable with Python ETL frameworks.

Responsabilidades

  • Design and maintain reliable datasets for KPIs.
  • Collaborate to translate business questions into data solutions.
  • Build dashboards to track product performance.

Conocimientos

SQL
Python
Data Analytics
Communication

Educación

Bachelor's degree

Herramientas

Amplitude
Looker Studio
Redshift
BigQuery

Descripción del empleo

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Luzia is Europe’s fastest-growing AI consumer company.

With over 65 million users in under two years, we’re on a mission to become everyone’s go-to personal assistant, simplifying and enriching daily life.

Recently named one of Europe’s 100 Hottest Startups by WIRED and ranked among the top Gen AI apps worldwide by Andreessen Horowitz, Luzia is backed by top-tier investors and moving fast. This is your chance to join a rocket ship at the intersection of creativity, growth, and cutting-edge AI.

As an Analytics Engineer , you’ll join a cross-functional team focused on KPIs like acquisition, retention, and monetization — building trusted datasets, deep analyses, and dashboards that power product decisions and AI features across Luzia.

Responsibilities :

  • Data Modeling & Pipelines : Design, build, and maintain reliable datasets in Redshift and BigQuery to support acquisition, retention, and monetization KPIs.
  • Cross-Functional Collaboration : Work within squads of engineers, designers, and marketers to translate business questions into data solutions and insights.
  • Dashboard Development : Build dashboards and reports in Amplitude, Looker Studio, or similar tools to track product and marketing performance.
  • AI Data Support : Enable AI-powered features by delivering clean behavioral data, supporting experimentation, and surfacing insights for internal tools.
  • User Segmentation : Create cohorting logic and unified user views across Appsflyer, Braze, Amplitude, and backend systems to improve targeting and personalization.
  • Data Quality & Governance : Contribute to documentation, identity deduplication, and internal data cataloging to ensure data consistency and discoverability.

Requirements :

  • Experience : 4+ years in analytics engineering, data analytics, or a related role in a data-driven product environment.
  • SQL & Warehousing : Strong SQL skills with experience in Redshift, BigQuery, PostgreSQL.
  • Python experience : Comfortable working with Python-based ETL frameworks and scripting data workflows.
  • Analytics Tools : Hands-on experience with tools like Amplitude, Looker Studio or similar for dashboarding and insights.
  • Marketing & Product Data : Understanding of attribution, funnels, A / B testing, and lifecycle analytics across tools like Appsflyer, Braze, GA4, and Ads APIs.
  • Startup DNA : Thrives in fast-paced environments with cross-functional squads and ownership-driven culture.
  • Communication : Fluent in English, capable of translating data into stories and recommendations for non-technical audiences.
  • Education : Bachelor’s degree in a relevant field or equivalent experience.

Nice to have :

  • Experience working on AI-related product features (e.g. personalization, content moderation, assistant feedback loops).
  • Exposure to tools like Braze, Appsflyer, GA4, Ads APIs (Meta, TikTok, Google).
  • Familiarity with dbt and modern data stack tools.
  • Interest in building internal tools to democratize access to data and insights.
  • Be part of an innovative project in the field of artificial intelligence.
  • Opportunities for growth and professional development in cutting-edge technologies.
  • Competitive salary and attractive benefits package.
  • Flexible, inclusive, and collaborative work culture.

Seniority level

Seniority level

Mid-Senior level

Employment type

Employment type

Full-time

Job function

Job function

Information Technology

Technology, Information and Internet

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