Responsibilities:

• Analyze sales data to identify trends, patterns, and opportunities for growth in the country.

• Drive countries to collect different data – retailer data , promoter data , display data , etc

• Generate regular reports and dashboards to track key sales metrics, including revenue, unit sales, market share, and profitability.

• Use multiple data sources to analyze, track, interpret and make clear and concise recommendations on action plans for the Sales and Trade Ops teams to drive sell-out across all product categories

• Apply expertise in quantitative and qualitative analysis to synthesize trends and be able to tell the story behind the numbers

• Conduct market research and competitive analysis to understand consumer preferences, market dynamics, and emerging trends.

• Collaborate with Sales, Marketing, and Product teams to develop sales forecasts, pricing strategies, and promotional campaigns.

• Provide recommendations for optimizing product assortment, inventory management, and distribution channels based on data-driven insights.

• Support sales team with data-driven decision-making, including customer segmentation, targeting, and territory management.

• Identify areas for process improvement and efficiency gains within the sales operations through data analysis and automation.

• Present findings and recommendations to senior management and stakeholders in clear and concise reports, presentations, and verbal communication.

Qualifications:

• You should have a bachelor’s degree or higher in business analysis, business administration, finance, or a related field

• Fluent in English (oral and written)

• Advanced MS Office skills, with distinct Excel. SQL expertise

• Proven experience with advanced Excel functions, including VLOOKUP, HLOOKUP, INDEX-MATCH, pivot tables, and conditional formatting.

• Proficiency in creating and managing macros using VBA for process automation.

• Skilled in using advanced formulas for data analysis and decision-making (e.g., array formulas, nested IF statements, and data validation techniques).

• Experience in creating dynamic and visually compelling dashboards using Excel (e.g., slicers, interactive charts).

• Familiarity with Power BI or Tableau to transform data into actionable insights (preferred but not mandatory).

• Optional skills are a plus: Digital analytics tools (Adobe Analytics, Google Analytics), Coding: Python/R/JavaScript, Experience with data science projects.

• Statistical Analysis : Ability to apply statistical methods to analyze and interpret data, providing meaningful insights for business decisions.