Coinspaid Solutions

is a fintech company building blockchain payment infrastructure for the general economy.

We design, implement, and scale payment systems that connect digital assets with real-world financial operations. Our solutions help businesses and financial institutions operate efficiently in the evolving digital asset landscape.

For over 11 years, we’ve been developing products that bring crypto payments closer to mainstream adoption. Today, our team includes 350+ professionals working remotely across multiple countries.

We combine the pace of fintech with a long-term approach to building products, teams, and careers. As a remote-first company, we give people flexibility in how they work while maintaining strong collaboration and shared ownership across teams.

Responsibilities

Analyzing and interpreting complex data sets from various sources (e.g., blockchain transactions, financial markets, and customer data), using statistical techniques and data visualization tools to identify patterns, trends, and insights

Developing, maintaining,



and optimizing SQL queries (Columnar databases) to ensure data accuracy, efficiency, and accessibility, perform statistical data analysis

Leveraging your expertise in Python to design and implement advanced data models, predictive analytics, and machine learning algorithms to support business decision-making and strategic initiatives

Collaborating with cross-functional teams, including product managers, engineers, and business stakeholders, to translate data insights into actionable recommendations and to develop data-driven strategies for our products and services

Creating and maintaining comprehensive documentation of data analysis processes, methodologies, and results, ensuring that key findings are effectively communicated to relevant stakeholders

Working with key stakeholders to identify needs and report outputs to answer questions and drive decisions

Staying current with industry trends and best practices in

📌 BI Data Analyst (Madrid)
🏢 Coinspaid Solutions
📍 Madrid