Hamza Khalif

- Adapted 12 separate data sources across the S+S business into customized Power BI dashboards to deliver monthly financial sales reports, sales forecasts, and service data segmented by region and time period. - Developed advanced Power BI dashboards to monitor field service performance, leveraging a Databricks data lake as the backend to ensure real-time, scalable analytics and seamless integration with existing service operations data. - Designed and maintained collaborative spreadsheet systems via SharePoint to collect monthly financial forecasts, machine maintenance records, and field service performance data from regional sales managers across the US, Europe, China, and APAC - Revived a non-functional point-of-sale dashboard by coordinating with CRM and Sales teams, achieving 95% data accuracy and enabling the identification of sales opportunities and market trends to support global growth initiatives. - Played a key role in monthly, quarterly, and year-end data mining efforts, delivering detailed reports to senior management on financial, personnel, customer, and service trends in comparison with historical performance.