Teknisi

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.