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 within FMCG or a reputable research agency
• Strong stakeholder management and business partnering experience
• Familiarity with key market measurement tools and metrics, including Nielsen Retail Audit, World Panel, and Brand Health such as Kantar Insights or YouGov, will be an advantage
• Strong proficiency in Excel, ideally including Power Pivot and Power Query, along with Tableau or Power BI
• Solid analytical and numerical capability, with exposure to database design, data mining, data visualization, data architecture, and UI/UX
• Experience integrating market, consumer, and sales data into business insights
• Excellent communication and stakeholder management skills
• Curious mindset with passion for transforming data into business growth opportunities
• Proactive, independent, and detail-oriented