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.