Description:

We're looking for a Data Analyst to join our BigBrain analytics team at monday.com. If you're passionate about leveraging data to generate insights, drive business impact, and work in a dynamic, cross-functional environment—this role is for you.

• Conduct deep-dive analysis to surface actionable business insights that drive product improvements, operational efficiency, and strategic decision-making.
• Design and develop insightful dashboards and data products that empower stakeholders across the company.
• Define key business metrics and ensure data accuracy and consistency across reporting layers.
• Collaborate closely with Product Managers, Developers, Analysts, and Executives to collect requirements, deliver solutions, and translate business questions into data-driven answers.
• Initiate and lead your own analytical projects—proactively identifying opportunities to optimize our product, workflows and customer experience through data.
• Present findings in a clear, compelling, and accessible way, tailored to both technical and non-technical stakeholders.
• Help foster a data-driven culture by building strong working relationships and championing the use of data in decision-making.

• Highly proficient in SQL – you can independently query large and complex datasets.
• 3+ years of experience as a Data Analyst or in a similar analytical role.
• Experience with data visualization tools (preference for Tableau)
• Strong analytical thinking and business understanding – you understand the “WHY” behind the numbers and the impact on the business.
• A great communicator and storyteller – you can translate complex data into simple, meaningful insights.
• Highly independent – curious, creative, and proactive. You don’t wait for direction; you seek out opportunity.
• A team player with strong interpersonal skills – you're able to build trusted relationships and work cross-functionally with diverse stakeholders.
• Fluent in English (spoken and written).

Bonus Points

• Experience working in fast-paced tech environments or product analytics.
• Experience with experimentation frameworks (e.g., A/B testing).