Data Analyst

Deskripsi Pekerjaan

• We’re looking for a skilled Data Analyst with a passion for numbers and a solid understanding of the Food & Beverage (F&B). This role is ideal for someone who thrives on turning complex data into clear business insights and enjoys working cross-functionally with teams like operations, marketing and finance.
• Responsibilities:
• Sales & Revenue Analysis: Track and interpret key metrics such as average order value, sales per item, and revenue trends.
• Inventory & Supply Chain Analysis: Monitor food costs, wastage, and inventory turnover to optimize supply chain performance.
• Customer Behavior Analysis: Identify patterns in customer preferences, peak hours, and feedback for improved service and retention.
• Operational Efficiency: Analyse data on staffing, kitchen output, and delivery times to improve day-to-day operations.
• Menu Engineering: Evaluate item profitability and popularity to support strategic menu decisions.
• Cost of Goods Sold (COGS): Assess how raw material costs influence profit margins.
• Seasonality & Promotions: Analyse the impact of holidays, seasons, and marketing campaigns on sales performance.
• POS Systems: Work with data from systems to derive actionable insights.
• Fixed Asset Records: Verify and manage records of fixed assets at various restaurant locations.
• Requirements:
• Bachelor’s degree (S1) in Mathematics , Statistics , or a related quantitative field .
• At least 3 years of experience in the F&B or relevant industry.
• Advanced Excel skills, including formulas, pivot tables, dashboards, and charts.
• Experience working with relational databases (e.g., querying sales and inventory data).
• Basic programming knowledge for analysis using Python, SQL, or similar tools.
• Strong communication skills with the ability to explain technical findings to non-technical teams (managers, marketers).
• Problem-solving mindset with a keen eye for uncovering insights that drive business decisions.
• Collaborative attitude and experience working with cross-functional teams.