About ITRex

THE PLACE

ITRex - AI pioneers who build systems that actually work in the real world, not just in demos. We're 250+ people spread across the US and Europe, creating solutions for companies like Procter & Gamble and Shutterstock. We keep it simple, build it right, and focus on what works.

THE PEOPLE

We're the kind of people who don't ignore messages in Slack, who jump in to help when you're stuck on a problem, and who offer solutions instead of blame when things go sideways. We believe in openness, accountability, and having each other's backs. No office politics, no hidden agendas - just people who care about doing good work together and supporting each other to get there.

About The Job

We are looking for a skilled Data Analyst to help transform business questions into clear analytical solutions and actionable insights for one of our long-term international clients.

In this role, you will work closely with business stakeholders to define analytical hypotheses, design reporting logic, and deliver data products that support strategic decision-making. You will contribute to building scalable analytics solutions using modern cloud data platforms, with a strong focus on SQL-based analysis, data visualization, and business-facing storytelling.

The ideal candidate combines strong analytical thinking with practical business curiosity, knows how to structure ambiguous requests into measurable outcomes, and is comfortable owning analytical initiatives end-to-end. This is a highly collaborative individual contributor role where technical depth and communication matter equally.

Your Responsibilities

• Partner with business teams to understand analytical needs and translate them into structured data solutions
• Develop and maintain reporting logic, dashboards, and analytical assets that support business decision-making
• Perform advanced SQL analysis to uncover trends, anomalies, and business opportunities
• Build and improve analytical models and data products for specific business initiatives
• Create clear analytical narratives and present findings to non-technical stakeholders
• Contribute to improving reporting consistency and maintaining trusted data definitions across systems
• Support data preparation for reporting, analytics, and decision-making workflows
• Document analytical assets, business definitions, and usage guidance for internal stakeholders
• Collaborate with technical and business teams to improve analytical processes and data quality
• Contribute to a data-driven culture by promoting practical use of analytics in everyday decisions