Product Data Analyst (Exchange & Blockchain)

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.

🏆 In 2026, Coinspaid was recognized as Best Corporate Culture in the Blockchain Industry in Europe, reflecting our focus on ownership, trust, and collaboration.

This role will be allocated into the product department.

Why this role stands out For analysts who want to move beyond reporting and one-off data pulls, this role offers direct influence on product decisions and measurable product impact.

• A true product-facing analytics role, not just reporting support.
• Work with exchange, trading, and blockchain / digital asset data to solve high-impact analytical problems and turn insights into product improvements.
• Partner closely with Product and Engineering on feature performance, execution quality, and product decisions.
• Join an experienced, collaborative team with strong onboarding into the product, market mechanics, and domain specifics.
• Comprehensive training in crypto and blockchain, covering all domain knowledge needed to succeed in the role.

Responsibilities:

• Data-Driven Decision Support

• Define and maintain key product indicators and a structured metrics tree to ensure consistent measurement across exchange and trading operations.

• Prepare, visualize, and clearly present data needed for informed and timely decision-making.

• Build informative dashboards and reports in Tableau for product, operational, and leadership teams.

• Operational Efficiency & Quality Monitoring

• Monitor product and trading performance by analyzing core metrics, feature output, execution quality, and market behavior.

• Identify inefficiencies, anomalies, or risks — including suboptimal liquidity providers, algorithm behavior issues, or operational bottlenecks.

• Evaluate the performance of trading algorithms and extract actionable insights to improve execution quality and profitability.

• Advanced Analytical Work

• Conduct statistical and quantitative analyses, including back-tests, regressions, and time-series evaluations to validate hypotheses and support product improvements.

• Perform ad-hoc deep-dive analyses based on business and operational requests.

• Prepare new analytical reports and implement alerting mechanisms for key metrics and deviations.

• Cross-Team Collaboration

• Work closely with product and engineering teams to define analytical requirements and support a data-driven approach across the organization.

Requirements:

• 3+ years of proven experience as a Data Analyst, Business Intelligence Analyst, or similar quantitative role.
• Direct, hands-on experience (2+ years) analyzing data related to trading, exchange, and liquidity operations in financial markets (e.g., FX, Crypto, Securities, Commodities). This includes:
  • Analysis of Order Book data and tick-level trading data
  • Analyzing metrics related to execution and price quality, slippage, latency, spread, markups and trading volumes
  • Greatly desirable - experience with Market Microstructure concepts
• Experience working in a company with product management and data-driven approach, understanding of product metrics, and participation in their development.

Technical Proficiency:

• Expertise in SQL for complex querying, data extraction, and performance optimization (writing efficient queries on large datasets is critical).
• Advanced proficiency in Python (or R) for data manipulation, statistical analysis, and modeling.
• Demonstrated ability to create high-impact, interactive data visualizations and dashboards using tools like Tableau, Power BI, or similar.

Analytical Skills:

• Strong statistical foundation and ability to apply statistical methods to product and business problems (e.g., A/B testing, back-testing, regression analysis, time series analysis).
• Proven ability to identify, analyze, and interpret complex data patterns, trends, and potential issues within trading data.

Domain Knowledge:

• Solid understanding of financial products and market concepts (e.g., markups management, margin, P&L calculation, bid/ask spread, market depth, execution types, etc).
• Familiarity with data integrity, reconciliation, and validation processes for sensitive financial data.

Nice to have:

• Quantitative Analysis Background:
  • Experience in developing, back-testing, or validating execution strategies or pricing models (e.g., using historical market data).
  • Familiarity with risk metrics specific to trading (stress testing, exposure limits).
  • Experience working with data from High-Frequency Trading (HFT) systems or low-latency exchange environments.

Why should you choose Coinspaid?

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.

Flexible Benefits

• Benefit Bar – up to €250/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.

Work & Flexibility

• Fully remote work from almost anywhere
• Optional offices and relocation support
• Flexible, async-friendly environment

Growth & Learning

• Budget for courses, certifications, and professional development
• Language learning support
• Cross-team learning and knowledge sharing

Wellbeing & Support

• Medical insurance or reimbursement depending on location
• Access to mental health support
• Financial support for important life events

Extras

• Merch shop with rewards system
• Team offsites and company events

Sounds good? Well then, we can’t wait to see your resume!