BI Data Analyst (Fintech)

TL;DR

BI Data Analyst (Fintech): Analyzing and interpreting complex blockchain and financial data sets to drive strategic decision-making with an accent on SQL optimization and data visualization. Focus on building advanced data models, predictive analytics, and collaborating with cross-functional teams to translate insights into actionable business recommendations.

Location: Must be based in the European Region (Remote/Hybrid)

Company

A fintech company building blockchain payment infrastructure for the global economy with over 11 years of experience in the crypto space.

What you will do

• Analyze complex data sets from blockchain transactions and financial markets using statistical techniques.
• Develop, maintain, and optimize SQL queries for columnar databases to ensure data accuracy.
• Design and implement advanced data models and predictive analytics using Python.
• Collaborate with product managers and engineers to translate data insights into actionable strategies.
• Create and maintain comprehensive documentation of analysis methodologies and findings.
• Identify stakeholder needs and report outputs to drive data-driven decision-making.

Requirements

• 3+ years of BI/Analytics experience
• English B2+ proficiency with experience in international teams
• Strong knowledge of SQL
• Strong experience with Tableau data visualization
• Analytical mindset with a self-starter approach
• Ability to communicate effectively with both technical and non-technical stakeholders

Nice to have

• Experience with Vertica or similar columnar databases
• Experience in the blockchain or finance domain
• Experience with forecasting data using Python or R
• Experience building data pipelines and ETL processes in Apache Airflow
• Experience with Machine Learning algorithms and model development

Culture & Benefits

• Flexible monthly benefit budget of up to €230 for sports, health, or home office expenses.
• Fully remote work environment with optional office access.
• Budget for professional development, certifications, and language learning.
• Medical insurance or reimbursement and mental health support.
• Regular team offsites and company events.