About Our Client:

A global powerhouse in the skincare space with a diversified portfolio & a robust presence across >100 countries. Renowned for its science-backed skincare and pharmaceutical expertise, it houses a diverse portfolio of brands trusted by consumers worldwide. Its commitment to innovation, sustainability, and ethical beauty has cemented its position as one of the world’s leading players in the skincare and wellness space. A culture that embraces open communication, entrepreneurship & the blend of strategy and execution.

About Our Role:

We are seeking a commercially minded Data Analyst to join the dynamic team. This role focuses on turning data into actionable insights that drive smarter business decisions across Sales, Marketing, and Management. You will play a key role in structuring and visualising commercial data to support growth and operational excellence.

Key Responsibilities:

• Structure, clean, consolidate and Forecast sell-in and sell-out data from multiple sources (NielsenIQ, retail pharmacies portals, Microsoft AX Dynamics, internal trackers).
• Analyze commercial data to measure performance across promotions, assortment, pricing, and overall sales trends.
• Build and maintain Power BI dashboards and Excel reports to visualize insights for stakeholders across Sales, Marketing, and Digital teams.
• Support business reviews and commercial decision-making by identifying growth opportunities and performance gaps.
• Collaborate with stakeholders to define priorities, share insights, and educate teams on effective use of data.
• Conduct ad-hoc analysis to evaluate promotion effectiveness and category performance.
• Ensure data accuracy, consistency, and reliability across reports and dashboards.

What We’re Looking For:

• Bachelor’s Degree in Business Analytics, Data Science, or a related field.
• Strong analytical and problem-solving skills with demonstrated proficiency in Excel or Google Sheets.
• Hands-on experience with Power BI and intermediate SQL for data querying.
• Python knowledge is an advantage for automation or forecasting tasks, but not required.
• Experience working with FMCG commercial data such as sell-in/sell-out, category, and promotions.
• Detail-oriented, self-driven, and able to manage data independently (no data engineer support).
• Excellent communication skills and ability to collaborate cross-functionally with Sales, Marketing, and Digital teams.

If you meet the above requirements, please apply with your updated CV. Due to the high volume of interest anticipated, only shortlisted candidates will be notified - though every candidates effort is truly appreciated.

Contact: Arvin Singh (EA No: 1763788)