pstrongJob Description: /strong /ppData Management /pulliTake overall responsibility for the accuracy, completeness, and timeliness of retail data. /liliEnsure SO (Sales Out) information is entered into RMS system completely, accurately, and on time, including: /liliOrganization and retailer master data /liliStore master data /liliEmployee/store relationship data /liliStore-retailer relationship data /liliBusiness rules, including sales, inventory, assortment, and expense calculation rules /liliEnsure RMS data remains complete, accurate, and up to date. /li /ulpSystem Implementation Adoption /pulliFollow the implementation roadmap and drive the adoption of key data functionalities within the region. /liliSupport the rollout and adoption of new modules, features, and business processes. /liliEnsure new RMS functions are implemented and effectively used by local teams within the required timeline. /li /ulpIssue Resolution Continuous Improvement /pulliCollect and manage local business and system issues, including:



/liliSystem performance issues /liliFunctionality issues /liliUser experience issues /liliBusiness process issues /liliProvide timely feedback and follow up with the relevant teams until issues are resolved. /liliContinuously identify opportunities to improve system functionality and business processes. /li /ulpbr / /ppstrongKey Technical Skills /strong /ppData Analysis Visualization /pulliProficient in Python for data analysis, with hands-on experience using Pandas, NumPy, and Matplotlib/Seaborn. /liliAble to perform data processing, analysis, and visualization. /liliFamiliar with commonly used data analysis methodologies. /li /ulpSQL /pulliProficient in MySQL and SQL query development. /liliCapable of independently extracting, processing, and analyzing data from databases. /liliAble to use Power BI to connect to and visualize data from multiple sources and build complete dashboards and analytical reports. /li /ulpExcel /pulliProficient in advanced Excel functions. /liliExperienced in creating PivotTables, charts, and other analytical reports. /liliAble to efficiently handle daily data analysis and reporting tasks. /li /ulpLanguage /pulliFluent in Italian, Chinese and English. /li /ulpbr / /p

📌 Retail Data Analysis (Milano)
🏢 Xiaomi Technology
📍 Milano