Analytics Engineer

About Us:

Luzia is Europe’s fastest-growing AI consumer company. 
With over 60 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: 3+ 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.

Benefits:

• 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.