Senior BI Analyst

Digital assets are redefining how wealth is created, used, and transferred. Since 2018 at Nexo, we have been building the future model of financial wealth - dynamic, accessible, and designed for a new generation of forward-thinking investors.

But technology alone doesn’t drive progress. People do.

We are a team of builders, strategists, analysts, creatives, and operators united by a shared mindset: advancement. We move fast, think long term, and take ownership. We challenge ideas, not people. We value clarity over noise and impact over optics.

We shape industry trends. We rethink how wealth works and build solutions that reflect that belief.

That requires a certain kind of person.

You will thrive here when you think independently and act decisively, take ownership without waiting for permission, and care deeply about quality, long-term value, and disciplined execution. The people who succeed at Nexo bring analytical depth, sound judgment, and resilience - but also curiosity and the drive to keep improving.

This is an environment for people who want to lead, create, and elevate what already exists. If building what’s next excites you, you’ll feel at home at Nexo.

Official website: nexo.com

Your role:

• Build and maintain operational and product Key Performance Indicator (KPI) definitions based on high-level business requirements. Leverage your in-depth understanding of the existing data warehouse structure and content to ensure accurate and meaningful KPIs.
• Generate data-backed actionable insights that drive informed and strategic business decisions.
• Support team members and stakeholders by providing clear documentation and the ability to explain metrics, dimensions, and KPIs in a concise and understandable manner.
• Ensure data consistency and accuracy by defining and executing QA automation and reconciliation processes, guaranteeing reliable and trustworthy data.
• Generate insightful reports from the data warehouse using visual reporting tools or direct queries, enabling stakeholders to make informed decisions.
• Develop analytical and statistical data models to provide comprehensive research and valuable insights aligned with high-level business requirements.
• Translate business needs into technical requirements for reporting or data warehouse enhancements, bridging the gap between business objectives and technical implementation.
• Train stakeholders on how to effectively use self-service Business Intelligence (BI) tools, empowering them to access and interpret data independently.
• Collaborate with stakeholders, including executives, product managers, and engineers, to address data-related issues and fulfill their data requirements.
• Create data tools for business departments that facilitate the building and optimization of our product, positioning us as an innovative industry leader.
• Discover and employ meanignful AI-driven optimizations in your day-to-day tasks.
• Partner with cross-area teams to support self-service data initiatives.

To excel within our team, you should possess:

• A robust data analytical background, enabling you to handle complex data analysis tasks with confidence.
• Proficiency in using BI reporting tools, (preferably Tableau), to present data in a visually compelling and user-friendly manner.
• Experience in defining requirements for software or data engineers, ensuring effective communication and alignment between teams.
• Expertise in designing and executing SQL queries, mapping and reconciling data sources, and troubleshooting data issues, ensuring data integrity.
• The ability to perform root cause analysis on business results and processes based on collected data, deriving actionable insights to drive improvements.
• Proven experience collaborating with cross-functional teams in a dynamic environment, showcasing adaptability and teamwork skills.
• Familiarity with banking, financial, and/or crypto Key Performance Indicators (KPIs) and concepts, which allows you to quickly grasp and address industry-specific requirements.
• Knowledge or experience in statistical and data modeling techniques is considered a plus.