[Hiring] Manager FMCG CPG Analytics Insights @Weekday AI

Role Description

We are seeking an experienced Manager – FMCG/CPG Analytics & Insights with 8+ years of experience in FMCG/CPG analytics, consumer insights, and brand performance analysis. The ideal candidate will have a strong understanding of consumer behaviour, brand metrics, sales performance, pricing, and distribution analytics.

In this role, you will lead analytics initiatives, manage stakeholder relationships, and translate complex consumer, sales, brand, and commercial data into actionable insights that support strategic business decisions. You should bring hands-on experience with syndicated market research platforms such as NIQ, Kantar, or IRI, along with advanced analytical and presentation skills.

Qualifications

• 8+ years of experience in FMCG/CPG analytics, consumer insights, brand insights, or a related domain.
• Strong hands-on experience with NIQ, Kantar, or IRI market research and syndicated data platforms.
• Advanced proficiency in Microsoft Excel, Power Query, and PowerPoint.
• Strong understanding of consumer KPIs, brand performance metrics, pricing strategies, and distribution analytics.
• Ability to interpret large datasets and convert complex analysis into clear, actionable business recommendations.
• Experience managing stakeholder relationships and collaborating with cross-functional business teams.
• Strong communication, presentation, problem-solving, and analytical skills.
• Demonstrated experience managing analytics teams and driving high-quality insight delivery.

Requirements

• FMCG/CPG Analytics & Insights
• Consumer & Brand Insights
• NIQ / Kantar / IRI

Good-to-Have Skills

• Stakeholder Management
• Pricing & Distribution Analytics
• People Management & Team Leadership
• Power BI
• Revenue Growth Management (RGM)

Preferred Competencies

• Strong business and commercial acumen.
• Ability to connect consumer and market insights with business performance.
• Excellent stakeholder communication and executive presentation skills.
• Strong attention to detail and a data-driven approach to decision-making.