Commercial Data Analytics Associate Manager

About the Role

We are looking for a commercially minded and data-driven professional to turn complex business data into actionable insights. This role will serve as the central analytics hub, integrating internal and external data sources to drive performance tracking, forecasting, and strategic decision-making across the organization.

Key Responsibilities:

• Develop and maintain integrated dashboards as a single source of truth for business performance.
• Analyze market, category, brand, channel, and SKU performance to identify opportunities and risks.
• Deliver regular reporting and insights using internal and external data sources.
• Build analytical models to evaluate business investments and forecast growth opportunities.
• Explore advanced analytics approaches such as social listening, trend monitoring, and consumer analytics.
• Partner with Marketing, Sales, Finance, Trade Marketing, Supply Chain, and external data providers to drive business decisions.

Requirements

• Bachelor's degree in business, Marketing, Engineering, Statistics, Computer Science, Data Analytics, or related field. Master's Degree is a plus
• Minimum 5 years of experience in Business Intelligence, Data Analytics, Business Analytics, Commercial Analytics, Marketing Analytics, or Consumer Insights
• FMCG or market research agency experience preferred
• Strong stakeholder management and business partnering experience
• Familiar with Nielsen Retail Audit, Numerator/Kantar Home Panel, Brand Health Tracking, or similar consumer insights tools
• Advanced Excels (Power Query/Power Pivot preferred)
• Power BI and/or Tableau.
• Experience in data visualization, database management, data modelling, and analytics.
• Strong analytical, problem-solving, and numerical skills
• Experience integrating market, consumer, and sales data into business insights
• Excellent communication and stakeholder management skills
• Commercially savvy with strong analytical thinking
• Curious mindset with passion for transforming data into business growth opportunities
• Proactive, independent, and detail-oriented