Senior Data Analyst

Take ownership of complex technological problems.

We are monday.com, a global software company transforming how businesses run. Our product suite can adapt to the needs of diverse industries and use cases within one powerful platform, empowering ~245,000 customers worldwide to reimagine how work gets done, drive greater efficiency, and scale like never before.

With over 2,500 employees across the globe, we grow by prioritizing transparency and knowledge sharing. We care about the impact you make, not the hours you clock, so we encourage initiative, ownership, and fresh thinking. We back our people with flexible work, wellness and mental health support, and a work environment built on collaboration.

We fully embrace the AI revolution and we equip you with AI-powered IDEs, customizable agent rules, prompt engineering tools to streamline your workflow and AI-infused CI/CD pipelines designed to boost speed and reliability. You'll also tap into AI-driven insights, helping you make smarter decisions, faster.

We’re looking for a Senior Data Analyst. In this position, you’ll own complex projects of R&D metrics end-to-end and play a critical part in solving meaningful problems, with opportunities to shape analytics frameworks and mentor others. 

The role is based in our Warsaw office - established in 2022, it is a growing hub for engineers and analysts who love solving impactful problems. 

• Lead end-to-end analytical projects, from business questions to data modeling, insights, and recommendations.
• Partner with stakeholders to define KPIs and build reliable, automated reporting systems.
• Perform deep-dive analyses to identify growth opportunities, improve operational efficiency, and influence product or business strategy.
• Build and maintain dashboards, ensuring stakeholders have accurate and actionable data.
• Work closely with data engineering to improve data infrastructure, pipelines, and data quality.
• Proactively identify opportunities where data can have a strategic impact across the company.

• 6+ years of experience as a Data Analyst, preferably in a SaaS or high-growth tech environment.
• Advanced SQL skills with proven experience working with large, complex datasets.
• Hands-on experience with BI tools such as Tableau.
• Strong knowledge of data modeling, statistics, and A/B testing methodologies.
• Excellent problem-solving, critical thinking, and business acumen.
• Strong communication skills with the ability to tell a compelling story through data.
• Bonus: Experience with Python for data analysis or working with modern data warehouses (e.g., Snowflake, BigQuery, Redash).

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