Analytics Engineer

Finmatics – Your AI Accountant

With
Fin
, the AI accountant, Finmatics simplifies, accelerates, and optimizes accounting processes. Instead of performing routine tasks manually, our software handles them reliably – for accounting professionals in Germany and Austria.

Our mission is to design, build, and deliver the trusted AI accountant for every accounting team in Germany and Austria to work smarter, faster, and with confidence.

As our Analytics Engineer, you are the central hub for our data. You are responsible for transforming raw data from our production systems into meaningful, reliable data models and dashboards. You will own the crucial "Transformation" layer of our new
Google BigQuery
data warehouse , translating business requirements from Product, Customer Success, and Management into performant SQL logic and insightful
Looker Studio
visualizations.

Your Key Responsibilities

• Data Warehouse Logic:
  Design and maintain our "One Big Table" architecture in Google BigQuery. You will own the logic for deduplication, window functions, and ensuring our "Single Source of Truth" remains accurate.

• AI-Native Workflow:
  You don't just "use" AI; you treat LLMs (ChatGPT, Gemini) as your junior developer. You act as the architect, prompting the AI to generate complex SQL transformations, while you validate the logic, debug the output, and ensure business accuracy.

• BigQuery Optimization:
  You are responsible for query performance and cost control. You understand partitioning, clustering, and incremental build strategies (e.g., rolling windows) to keep our cloud costs efficient.

• BI & Dashboarding:
  Take end-to-end ownership of our dashboards in Looker Studio – from requirements gathering with management and customer success to technical implementation and maintenance.

• Data Quality & Debugging:
  Ensure data quality across our denormalized data models. Proactively investigate anomalies, debug complex joins and window functions , and maintain consistency for KPIs

• Documentation:
  Maintain our "Data Dictionary" and architectural guides (like our "Usage Warnings" and raw table definitions) to ensure future scalability.

Required Qualifications

• SQL Skills:
  You have some SQL knowledge and ideally experience with Google BigQuery.

• BigQuery Expertise:
  Experience with BigQuery specific features (Partitioning, Scheduled Queries) and cost optimization is highly preferred.

• BI Experience:
  Proven experience in building and maintaining BI dashboards (Looker Studio is a big plus).

• Data Modeling Expertise:
  A solid understanding of data warehouse concepts, data modeling, ETL/ELT processes and query cost optimization.

• Tech Affinity:
  You are a true "Citizen Data Analyst." You leverage tools like ChatGPT, Gemini, or to move 10x faster than a traditional coder.

• Analytical Strength:
  You can understand complex business questions and translate them into technical requirements and data logic.

• Languages:
  Fluent in
  German or English
  .

• Important:
  You do not need traditional software engineering experience (Java/Python). Your focus is on the
  Logic
  , the
  Transformation
  , and the
  Truth
  within the data. AI is your best friend.

What We Offer

Be part of shaping the future of financial workflows using the latest technical possibilities.

• Pleasant working atmosphere in the middle of Vienna

• Possibility to work remote

• Open and honest corporate culture

• Independent work and short decision-making paths

• Motivated, dynamic team and flat hierarchies

• Additional benefits include a subsidized lunch menu in our office ("Schrankerl"), a selection of free fruit and snacks as well as company and team events

• Flexible working hours

• Job ticket for Wiener Linien

• The minimum salary for this position is € 55.000,- overpayment possible depending on qualifications

Join us and help shape the future of
Analytics Engineering