Senior Manager - FP&A Data Analytics

Head Office

Other

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Lead the FP&A Data Analytics function to transform financial and operational data into actionable business insights. Drive advanced analytics, forecasting models, management dashboards, and data-driven decision making across Makro and Lotus's businesses. Act as a strategic partner to Finance Leadership and business executives in identifying profitability opportunities, cost optimization initiatives, and future growth drivers.

Responsibilities

Financial Analytics & Business Insights

• Lead enterprise-wide financial and business analytics initiatives.

• Deliver insights on sales, gross margin, profitability, productivity, and cost performance.

• Identify business risks and opportunities through advanced data analysis.

• Conduct scenario planning and sensitivity analysis to support strategic decisions.

Advanced Forecasting & Predictive Analytics

• Develop financial forecasting models using statistical and predictive techniques.

• Improve budget, forecast, and long-range planning accuracy.

• Apply AI and machine learning techniques to financial and commercial datasets.

Data Visualization & Executive Reporting

• Build executive dashboards using Power BI, Tableau, or similar platforms.

• Transform complex data into intuitive management reports and insight-driven storytelling.

• Present recommendations to CFO, Finance Director, and senior business leaders.

Business Partnering

• Partner with Commercial, Operations, Supply Chain, Digital, and Finance teams.

• Translate business questions into analytical frameworks and actionable recommendations.

• Drive fact-based decision making across the organization

Team Leadership

• Lead and develop a high-performing Data Analytics team.

• Build analytics capabilities and best practices across the finance organization.

Qualifications

• Bachelor's or Master's Degree in Finance, Economics, Statistics, Data Analytics, Computer Science, or related fields.

• 10+ years in FP&A, Strategic Finance, Financial Analytics, Business Analytics, Data Science, or Consulting.

• Strong knowledge of financial modeling, budgeting, forecasting, and business performance management.

• Advanced Power BI, SQL, Excel, Python/R.

• Excellent presentation and storytelling capabilities.

• Strong English communication skills.

• Experience in Retail, FMCG, E-commerce, or Consulting is highly preferred.

• High potential, entrepreneurial mindset, fast learner, and comfortable in dynamic environments.