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The role: Drive the annual business planning process, including target setting, budgeting, and forecasting, in partnership with key stakeholders to ensure alignment with business objectives. Track revenue, cost, and key business KPIs against targets, conduct variance analysis, and identify risks, opportunities, and performance improvement initiatives. Apply data analytics to evaluate business performance, customer behavior, and market trends, translating findings into actionable insights and strategic recommendations. Develop and maintain management reports, dashboards, and score card that provide timely, accurate, and meaningful visibility of business performance. Prepare business review materials and present performance updates, key trends, and strategic insights to senior management to facilitate informed decision-making. Enhance reporting efficiency through automation and analytics tools, while ensuring data accuracy, consistency, and adherence to reporting standards and governance requirements. Act as an internal AI ambassador, identifying opportunities to automate repetitive analytical tasks and upskill the broader team on AI-driven BI tools. To succeed in this role: Bachelor's degree in Business Administration, Finance, Economics, Data Analytics, Statistics, or a related discipline. Minimum 5 years of experience in Business Planning, Business Analytics, FP&A, Strategy, or Performance Management, preferably in eCommerce, retail, marketplace, or other consumer-focused industries. Strong understanding of eCommerce KPIs and business drivers, including sales performance, customer acquisition, retention, conversion, and profitability. Proven experience in budgeting, forecasting, performance analysis, and delivering actionable business insights. Proficiency in Excel, Power BI/Tableau, and other data analytics or visualization tools; knowledge of SQL and digital analytics platforms is an advantage. Strong analytical, presentation, and stakeholder management skills, with the ability to influence decision-making through data-driven recommendations.