Data Analyst
Qualifications
Bachelor's Degree in Statistics, Mathematics, Data Science, Information Systems, Business Analytics, Economics, Computer Science, or a related field.
Minimum 2–3 years of experience as a Data Analyst, preferably in the F&B, beverage, café, retail, or hospitality industry.
Strong analytical and problem-solving skills with attention to detail.
Advanced proficiency in Microsoft Excel (Pivot Table, Power Query, Lookup Functions, Dashboard)
Basic knowledge of Python or R for data analysis is an advantage.
Familiar with ESB POS System and capable of extracting, analyzing, and interpreting sales and operational data generated from the system.
Understanding of retail and F&B business metrics, including: Sales Performance, Average Check / Average Transaction Value, Customer Traffic, Conversion Rate, Product Mix, Gross Profit, Beverage Cost,Labor Cost, Inventory Turnover, Stock Variance.
Able to interpret complex data and present insights in a clear and actionable manner.
Excellent communication and presentation skills.
Able to work independently and collaboratively across departments.
High integrity and ability to maintain confidentiality of company data.
Willing to work under tight deadlines and manage multiple reporting priorities.
Job Description
Collect, organize, and maintain data from store operations, sales, inventory, finance, marketing, and customer transactions.
Analyze sales performance, product trends, customer behavior, and operational efficiency to support business decisions.
Develop and maintain daily, weekly, and monthly dashboards and management reports.
Monitor Key Performance Indicators (KPIs), including sales growth, transaction count, average spending, product mix, food cost, labor cost, and store productivity.
Analyze promotional campaigns and marketing activities to measure effectiveness and return on investment (ROI).
Identify business trends, opportunities, and potential risks through data analysis.
Provide recommendations to improve sales performance, operational efficiency, profitability, and customer experience.
Monitor inventory movement and identify slow-moving, fast-moving, and high-risk stock items.
Collaborate with Operations, Finance, Marketing, Supply Chain, and Store teams to provide accurate business insights.
Ensure data accuracy, consistency, and integrity across all reporting systems.
Automate recurring reports and improve reporting processes using analytical tools.
Prepare presentations and analytical reports for management meetings.
Support business planning, budgeting, forecasting, and performance evaluation using data-driven analysis.
Perform ad-hoc analysis as requested by management.