Senior Data Analyst

About Revuze

Revuze is an AI Enterprise SaaS company that helps the world’s leading brands truly understand their customers. Using advanced AI and machine learning, we analyze Voice of Customer data — from reviews, surveys, social, and service channels and turn it into actionable insights.

Our platform empowers global CPG brands to streamline market research, drive product innovation, enhance marketing effectiveness, and optimize e-commerce performance.

We’re seeking a passionate, experienced Senior Data Analyst to join our team.

Our offices are located in Poleg, Netanya, and we work in a hybrid model.

Responsibilities

• Drive strategic insights by working hands-on with complex data sets, seamlessly blending structured quantitative metrics with unstructured qualitative data (e.g., text, consumer feedback).
• Build agile analytical solutions, developing and maintaining advanced visual reports and interactive dashboards in Power BI to allow stakeholders to consume complex data easily.
• Deliver high-impact presentations (in English) to cross-functional teams and senior leadership, transforming raw data into clear, coherent, and compelling narratives that drive action.
• Optimize and automate: Proactively identify bottlenecks in current research processes and reduce turnaround times by building automated pipelines, templates, and dynamic models using SQL and Advanced Excel.
• Act as a strategic partner: Work highly autonomously to map business needs, master new domains on the fly, and provide data-driven guidance. This is an individual contributor role.
  
  

• Core Experience & Tech Stack: 5+ years of proven experience as a Data Analyst with exceptional hands-on proficiency in SQL, Advanced Excel, and Power BI (Absolute must-have).
• Versatile Data Handling & Synergy: Exceptional ability to extract value from the entire data spectrum—manipulating complex datasets (preferably text) and navigating seamlessly between massive databases and narrow, fragmented, or ambiguous sources.
• Exceptional Data Storytelling & Communication: Native-level English is essential. An outstanding presenter who is passionate about uncovering the "why" behind the numbers, synthesizing complex findings into a clear, compelling narrative.
• Driven, Autodidact & Process-Oriented: A brilliant, fast learner who thrives both autonomously and as a collaborative strategic partner. Proactively identifies opportunities to optimize research processes and independently masters new domains on the fly.
• Strong Advantage: Background or experience with Customer Insights (CI), Voice of the Customer (VoC), Customer Experience (CX), or Market Research methodologies.