Consumer Insights 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 Data Analyst to join our team and help us turn data into actionable insights.

Responsibilities

• Lead Voice of the Customer initiatives with a strong focus on analytical rigour and techniques from data extraction and cleaning through insight generation and delivery.
• Collaborate with clients to understand their objectives, shape ambiguous business needs into well-defined analytical frameworks, and deliver insight-driven solutions.
• Conduct deep-dive analyses on consumer datasets to uncover trends, behaviors, and actionable insights that inform marketing and business strategies
• Translate complex data into clear narratives and recommendations for technical and non-technical audiences
• Partner with the Head of the department to transform findings into visually engaging, insight-driven stories and deliver high impact presentations
• Lead the production of weekly, monthly and quarterly dashboards and providing clear commentary on performance drivers and trends
  
  

• 2-4 years Experience with Voice of the Customer/CX or Marketing Research approaches and methodologies.
• Proven hands on experience with SQL and Power BI - must have
• Strong analytical skills and the ability to draw business insights from diverse data sources.
• Passionate about discovering the story behind the data.
• Exceptional ability to synthesize information into a coherent and compelling narrative.
• Fluent English (native level or close) – essential for presenting and writing.
• Advanced Excel
• Identify opportunities to improve research processes and reduce turnaround times through automation, templates, and data visualization tools
• Ability to work independently and as part of a team