Consumer Insights Analyst (m/w/d)

Description

We are seeking a detail-oriented and insights-driven Consumer Insights Analyst (m/f/d) with a passion for the beauty industry and a strong analytical mindset. In this role, you’ll be at the intersection of data and strategy—working with both internal first-party data (from our retail and online channels) and external third-party sources (such as Circana, Nielsen, Toluna and others) to uncover consumer behavior trends and business opportunities.

You will be instrumental in helping the business make informed, data-backed decisions that drive growth, enhance customer experience, and keep us at the forefront of the beauty market.

Your Responsibilities:

• Analyze and interpret first-party data (e.g., sales, CRM, ecommerce metrics) alongside third-party data (e.g., Circana, Nielsen, panel data, syndicated reports) to provide a holistic view of the beauty consumer.
• Develop and deliver clear, visually engaging reports and presentations using Excel, PowerPoint, and AI-enhanced platforms.
• Identify key consumer trends, purchase behavior, product performance, and category shifts to support marketing, product development, and commercial teams.
• Partner with internal stakeholders and external vendors to coordinate research projects, data pulls, and insight generation.
• Leverage AI tools and platforms to enhance data analysis, automate insights, and stay ahead of emerging consumer needs and behaviors.
• Monitor the competitive landscape through third-party tools and market data, providing regular benchmarking and opportunity assessments.
• Synthesize insights into strategic recommendations that inform go-to-market planning, brand positioning, and customer engagement initiatives.

Qualifications

Your Profile:

• Bachelor's degree in Marketing, Business, Data Analytics, Psychology, or a related field.
• 2–3 years of experience in consumer insights, market research, or analytics—preferably within the beauty or CPG industries.
• Experience working with third-party market research providers (Circana, Nielsen, Kantar, etc.).
• Comfortable analyzing large, complex datasets and distilling findings into clear business narratives.
• Proficiency in Microsoft Excel (advanced functions, pivot tables, data models) and PowerPoint (executive-level presentations).
• Familiarity with AI tools for analysis or visualization (e.g., ChatGPT, Tableau with AI features, predictive analytics platforms).
• Strong understanding of consumer psychology, purchase behavior, and the retail/ecommerce landscape.
• Excellent communication and storytelling skills with the ability to influence both technical and non-technical audiences.