GENERAL DUTIES AND RESPONSIBILITIES

This role focuses on turning data into actionable insights that drive smarter business decisions across Sales, Marketing, and Management. This rolle will play a key role in structuring and visualizing commercial data to support growth and operational excellence.

• 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

QUALIFICATIONS AND SKILLS

Education 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.

• NielsenIQ & retail pharmacies portals.

• Microsoft AX Dynamics (sell-in, inventory, customer master).

• Power BI & Excel / Google Sheets. • Internal commercial dashboards and trackers.