Analytics Engineer at Finmatics transforming raw data into reliable dashboards. Focusing on SQL logic and data integrity using Google BigQuery and Looker Studio.
Responsibilities
Database logic: Design and maintain our "One Big Table" architecture in Google BigQuery.
AI-native workflow: You treat LLMs (ChatGPT, Gemini) as your junior developer.
BigQuery optimization: Responsible for query performance and cost control.
BI & dashboarding: Full ownership of our dashboards in Looker Studio.
Data quality & debugging: Ensure data quality across our denormalized data models.
Documentation: Maintain our "data dictionary" and architectural guidelines.
Requirements
SQL skills: You have solid SQL knowledge and ideally experience with Google BigQuery.
BigQuery expertise: Experience with BigQuery-specific features (partitioning, scheduled queries) and cost optimization is highly desirable.
BI experience: Proven experience building and maintaining BI dashboards (Looker Studio is a strong plus).
Data modeling expertise: Solid understanding of data warehouse concepts, data modeling, ETL/ELT processes, and query cost optimization.
Technical mindset: You are a true "Citizen Data Analyst." You use tools like ChatGPT, Gemini, or Julius.ai to work up to 10x faster than a traditional developer.
Analytical strength: You can understand complex business questions and translate them into technical requirements and data logic.
Languages: Fluent in German or English.
Benefits
Pleasant working atmosphere in the heart of Vienna
Option for remote work
Open and honest company culture
Autonomous work and short decision-making paths
Motivated, dynamic team and flat hierarchies
Subsidized lunch menu at the office ("Schrankerl")
Selection of free fruits and snacks, plus company and team events
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