Data Analyst (f/m/d)

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 Requirements 4+ years of hands-on experience in analytics, business analysis, or data-driven decision support roles

Strong SQL proficiency, including advanced joins, CTEs, and window functions

Experience building reports, dashboards, and analytical solutions using BI tools such as ThoughtSpot, Tableau, Power BI, or Looker

Ability to translate business needs into analytical tasks, define metrics, and propose data-driven solutions independently

Strong communication skills and confidence working directly with business stakeholders

Experience with cloud data platforms such as Snowflake or similar data warehouses

Good understanding of relational databases and analytical data models

Basic understanding of statistics and ability to apply foundational analytical methods such as regression, forecasting, or trend analysis

Experience identifying anomalies, patterns, and opportunities in business data

Ability to document analytical logic, reporting definitions, and business-facing data products Nice to have Experience with Python or R for data manipulation and exploratory analysis

Familiarity with cloud environments such as Amazon Web Services, Google Cloud, or Microsoft Azure

Experience with digital analytics tools such as Google Analytics

Exposure to ERP, CRM, or CDP ecosystems

Experience supporting data governance or privacy-related analytical processes

Familiarity with Jira or Asana workflows Benefits What We Offer Why people stay First, the foundation: Remote flexibility: Work where and how you work best - we trust you to deliver

Fair compensation: Competitive salary + benefits that matter (medical, learning) Then, the growth: Ownership opportunities: See a problem worth solving? Own it. We back smart risks over bureaucratic safety

AI enhancement: We leverage AI to make you faster and stronger - complementing your abilities, not replacing them

Learning investment: English classes, professional development, well-being support

Career progression: Real paths up, not just sideways shuffling Finally, the people: Responsive teammates: No ignored Slacks, no "not my problem" attitudes

Supportive culture: When you're stuck, people help. When things break, we fix them together

Human connections: Regular meetups, tech talks, and actual relationships beyond work Curious? We are too. Let's talk