Product Data Analyst

At Elementor, 13% of the internet runs on our multi-product platform, and data is how we keep shaping what’s next.

We’re looking for an analytical, curious, and impact-oriented Product Data Analyst to join our fast-growing Data team and help us drive product decisions with real insights and measurable results.

You’ll work closely with Product Managers, UX Researchers, Designers, and Engineers, uncovering user behaviors, optimizing flows, and identifying opportunities that improve millions of user experiences worldwide.

Work Environment:

What Do We Do

Elementor is where web creation happens for real.

We are a multi-product platform powering over 13% of the internet.

Our products give millions of web creators: developers, designers, and marketers - everything they need to build, scale, and succeed.

From Israel to more than 160 countries, a new website goes live with Elementor every 10 seconds.

How Do We Do It

By staying AI-first, data-driven, and human-led.

We build real products that deliver real value, and we do it together.

At Elementor, creativity, fast feedback, and open collaboration shape everything we do.

You will find good energy and people who genuinely care about the product, the users, and each other.

It is a place to grow, make an impact, and help shape the future of the web.

Responsibilities:

• Partner with Product and R&D teams to define success metrics and measure product performance.
• Analyze user journeys, A/B tests, and feature adoption to identify insights that drive growth.
• Build dashboards and reports that make complex data accessible and actionable.
• Collaborate across departments to turn insights into meaningful business and product impact.
• Leverage advanced analytics tools to support an AI-first, data-informed culture.
  
  

• 3+ years of experience as a Product or Data Analyst in a web or SaaS company.
• Proven ability to translate complex data into clear narratives and strategic recommendations.
• Strong SQL skills and experience with BI tools (Looker, Tableau, Power BI, etc.).
• Understanding of experimentation methodologies (A/B testing, funnel analysis, etc.).
• Experience with Python, R, or another scripting language - a plus.
• Curiosity, self-motivation, and a passion for learning fast and iterating even faster.