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.
• Stay updated on industry developments, market trends, and best practices in sales analytics and business intelligence.

Who You Are

• Data-Driven – With an eye for detail and the ability to interpret complex data, you can also translate this into meaningful, useful information that informs decision-making and continuous improvement;
• Inquisitive - Analysis – the ability to ask the right questions to get to the root causes of issues while keeping a strategic mindset. Ability to research, analyze, and form recommendations that can be communicated to different audiences effectively.
• Solution Oriented - Ability drive to solutions, actively think about next steps
• Multi-tasker – Attention to detail with excellent planning and organization skills and can adjust to changing demands to prioritize multiple deliverables and tasks in a fast-paced environment.
• Communication - Concisely build recommendations and speak to them (with confidence and the ability to answer tough questions).
• Team player - Strong team player with the ability to build relationships and experience collaborating with and supporting geographically dispersed users.
• 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)
• Other APAC Language knowledge would be a valuable addio
• At least 3-5 years of Data & Analytics experience (e.g. in a consultancy, agency, or on the customer side) - ideally with a marketing/ e-commerce industry background
• Experience in data analysis and visualization tools such as Tableau, MS Power BI, QLIK, etc.
• Advanced MS Office skills, with distinct Excel. SQL expertise
• Business reporting system knowledge (i.e. SAP, Qlikview)
• Optional skills are a plus: Digital analytics tools (Adobe Analytics, Google Analytics), Coding: Python/R/JavaScript, Experience with data science projects