Data Analyst

Scorechain is a Luxembourg-based company specialized in blockchain analytics and compliance solutions. We build tools that help financial institutions, crypto businesses and regulators assess risk, stay compliant, and fight fraud in the digital asset space.

You’ll work closely with our Product Manager and Data team to:

• Monitor blockchain and crypto news to identify new entities or risks.
• Perform Due diligence on crypto services based on the newest regulatory framework
• Help collect and organize data about blockchain addresses and entities.
• Support the improvement and automation of our internal tools (e.g., small scripts or data workflows).
• Contribute to cleaning and harmonizing crypto-labels datasets.
• Collaborate with the Product and Compliance teams on research, documentation, and data structuring.

• You’re curious and analytical, and you like understanding how things work.
• You have some basic technical skills (spreadsheets, APIs, or simple scripts — Python is a must).
• You’re interested in blockchain and crypto, even if you’re still learning.
• You enjoy connecting dots between data, product, and business.
• You’re a team player who likes to learn and take initiative.

• A chance to work on modern and innovative products in blockchain analytics and compliance.
• Work on real-world data challenges and contribute to meaningful products.
• Grow towards a specialised data, product role in the future.
• An international and friendly team based in Belval, Luxembourg.
• Hybrid work is possible under Luxembourg's remote work rules.

This role is designed as a growth path towards a more senior data-focused position, with the opportunity to evolve into a Data Strategy & Quality Lead role over time.

As you grow in the position, you may progressively take ownership of:

• Contributing to Scorechain’s data strategy and pipeline improvements.
• Handling, evaluating, and proposing new data providers.
• Leading and monitoring key data quality KPIs together with the Data team.
• Supporting the Data team on critical and high-impact decisions.
• Helping define the long-term data vision for Scorechain.
• Ensuring that blockchain labels, entity data, and risk-related datasets remain reliable, consistent, and useful for our products and clients.

We keep things simple and transparent:

Intro call with our PM (30 min)

Learn about the role, the company, and your background.

Assignment (2h to 10h - based on your knowledge and experience)

A practical test with clear milestone to achieve.

Use-case review with the PM (30–60 min)

We discuss your assignment results and next steps.

Final interview with our COO (30 min)

A short conversation to align expectations and confirm the mutual fit.