BI Data Analyst

• 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 data analysis, blockchain, and finance, and identifying opportunities for improving our data infrastructure and analytical capabilities, You’ll be joining a company that is actively shaping its space - with enough scale to matter and enough room to make an impact.

At Coinspaid, people are expected to think, contribute, and take ownership - and are supported in doing so.

We focus on flexibility, wellbeing, and long-term growth - without overcomplicating how benefits work.

• Benefit Bar - up to €230/month
• A flexible monthly budget you can use for what matters most to you - from sports and mental health to coworking, home office, or medical-related expenses.

• 3+ years of BI/Analytics experience
• English B2+ and experience of verbal communication in international teams
• Strong knowledge of SQL, Airflow
• Strong experience with Tableau data visualization
• Internally-motivated, self-starter mindset with an analytical thinking and curiousity to help find insights and show the value of data-driven decision making
• Ability to work cross-functionally and communicate with technical and non-technical teams
• Strong organization and presentation skills
• Detail-oriented approach with a passion for analytics and problem-solving

Nice to have

• Experience with Vertica or similar columnar database
• Demonstrable experience in the blockchain or finance domain
• Experience or familiarity with forecasting data (Python, R)
• Experience building and maintaining data pipelines, ETL processes in Apache Airflow
• Experience or familiarity with Machine Learning algorithms and their real-world advantages/drawbacks
• Experience of ML models development

• Fully remote work from almost anywhere
• Optional offices and relocation support
• Flexible, async-friendly environment
• Budget for courses, certifications, and professional development
• Language learning support
• Cross-team learning and knowledge sharing
• Medical insurance or reimbursement depending on location
• Access to mental health support
• Financial support for important life events
• Merch shop with rewards system
• Team offsites and company events

full_time

Organization Coinspaid Solutions

Coinspaid Solutions is a fintech company building blockchain payment infrastructure for the global 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.