Muhammad Fauzy

• Comprehensive Data Management: Oversee the entire lifecycle of sales data, from collection to transformation, ensuring accuracy and security. Perform data cleansing, secure transfer, and detailed analysis to optimize revenue using advanced Excel functionalities.
• Customer Segmentation & Analysis: Manage a customer database ETB. Utilize advanced Excel for segmentation and performance tracking. Integrate data from web-based queries, Customer Face Recognition (FRO) system, and Bluespider for comprehensive analysis of sales trends and customer behavior.
• Data Automation & Efficiency: Automated data cleaning and processing with Excel macros, improving accuracy and reducing processing time. Developed and optimized macro scripts to handle large datasets efficiently.
• Performance Tracking: Use datamart analysis to monitor and enhance sales performance, ensuring high standards in sales reporting and driving continuous improvement, Including Time Series Analyst base on productivity per Agent.
• Member Get Member Program: Manage and track over 200 referral leads monthly. Use macros to streamline data handling and improve follow-up processes.

Achievements:

• Streamlined data management and performance reporting processes, significantly improving efficiency and accuracy.
• Developed advanced macro scripts for data cleaning and segmentation, reducing processing times and eliminating duplicates.
• Implemented new reporting system for tracking customer interactions and revenue, contributing to enhanced strategic decision-making.

• Automated Reconciliation: Automated credit note reconciliation using VBA, RTGS, and LLG, resulting in a 30% reduction in processing time.
• Claim Management: Led claim refunds and chargebacks for ATM Debit Card transactions through Rintis & ATMB Switching Networks, improving speed and accuracy.
• QR Transaction Complaints Handling: Implemented a datamart for handling QR transaction complaints, reducing processing time from 3 hours to 15 minutes and enhancing efficiency.

Achievements:

• Optimized claims processing through automation, improving operational performance and accuracy.
• Developed innovative solutions for managing large volumes of transaction data, significantly enhancing processing speed and reliability.