Data Analyst Part Time - VendueTech

Role Summary:

The pipeline is live. Beta customers are using the product. Data is accumulating from auctions in Croatia, Poland, Italy, Germany, France, and beyond.

This is the moment where a good analyst makes a measurable difference. You will work on live production data, communicate directly with the team building the product, and ship things that actually get used.

This is a unique opportunity to join a high-growth startup on a 100% equity-based compensation model , aligning your success directly with the company's. You'll be part of the foundational team and directly participating in long-term value creation.

Key Responsibilities:

Build and own visualisations in Apache Superset: property type distributions, country-level auction trends, discount analysis, commercial vs residential breakdowns

Analyse auction field quality across the LLM extraction pipeline and document what the model gets right, what it misses, and why it matters for the product

Contribute to the end-to-end SOP for human-in-the-loop data validation, defining how humans and AI collaborate to move data from raw to trusted across the Bronze, Silver, and Gold layers

Produce S3 inventory and pipeline output reports: file-type distributions, parsing rates, schema completeness

Create structured analytical outputs for internal strategy and customer demos

Work with real multilingual auction data

What We're Looking For:

There are two paths into this role.

Junior track: You have done some SQL and played with data visualisation tools. You are curious, self-directed, and comfortable working async with a distributed team. You do not need to know everything on day one.

Senior track: You have built dashboards that people actually use. You understand what data quality means in practice. You can look at a messy field distribution and tell a coherent story about it. Experience with cloud storage, dbt, or LLM output pipelines is a real advantage.

Either way, you are someone who:

Thinks in questions, not just answers

Is comfortable sitting with uncertainty and digging into why the data looks the way it does

Communicates clearly in writing - this team runs async-first

Wants to build something, not just report on it

Sees equity and portfolio value as a genuine upside, not a consolation for a missing salary

Why now

The architecture is defined. The pipeline is running. The data is real. What is missing is someone who can turn that data into insight.

Every deliverable you produce here is something you can show: real company, real data, real scale. If that matters to you, this is the right moment to get involved.

Our stack:

Apache Superset | PostgreSQL | AWS S3 | AWS Athena | Python | SQL | LLM extract