Business Marketing Analyst

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 3,000 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. monday.com is looking for a Business Marketing Analyst to join our growing Marketing Operations and Analytics group. We are aiming for a stellar analyst who is passionate about analyzing various Performance Marketing activities in multiple verticals, and to serve as a bridge between the Data and the User Acquisition team. monday.com ’s marketing department manages a yearly budget of over $150M, in a B2B and B2C approach, leveraging both product and sales for generating revenue and scale while maintaining efficiency. As a Business Marketing Analyst for the Performance Marketing team, you will play a pivotal role in the company. You must be comfortable with being both strategic and hands-on, operating in a hyper-growth environment and have no fear of failing, and getting back on your feet again.

Requirements: 2+ years of experience in an analytic role at a SaaS or technology company (Marketing related experience - advantage). Advanced SQL skills are a must. Experience operating in a hyper-growth environment. Comfortable being both strategic and hands-on. Demonstrated ability to perform end-to-end analyses - from the hypothesis, through research and finally creating the desired output. Hands-on experience building measurement frameworks (e.g., CAC/LTV, ROAS, Attribution models). Proficiency in Tableau or Looker. Exceptional ability to translate complex data into actionable business recommendations for non-technical audiences.