Retail Data Analysis
Pubblicato il 09-09-2026 - Xiaomi Technology in Bardi
Job Description:Vuole saperne di più su questo lavoro?
Scorra verso il basso per scoprire quali competenze, esperienze e titoli di studio sono necessari.Data ManagementTake overall responsibility for the accuracy, completeness, and timeliness of retail data.Ensure SO (Sales Out) information is entered into RMS system completely, accurately, and on time, including:Organization and retailer master dataStore master dataEmployee/store relationship dataStore-retailer relationship dataBusiness rules, including sales, inventory, assortment, and expense calculation rulesEnsure RMS data remains complete, accurate, and up to date.System Implementation & AdoptionFollow the implementation roadmap and drive the adoption of key data functionalities within the region.Support the rollout and adoption of new modules, features, and business processes.Ensure new RMS functions are implemented and effectively used by local teams within the required timeline.Issue Resolution & Continuous ImprovementCollect and manage local business and system issues,
including:System performance issuesFunctionality issuesUser experience issuesBusiness process issuesProvide timely feedback and follow up with the relevant teams until issues are resolved.Continuously identify opportunities to improve system functionality and business processes.Key Technical SkillsData Analysis & VisualizationProficient in Python for data analysis, with hands-on experience using Pandas, NumPy, and Matplotlib/Seaborn.Able to perform data processing, analysis, and visualization.Familiar with commonly used data analysis methodologies.SQLProficient in MySQL and SQL query development.Capable of independently extracting, processing, and analyzing data from databases.Able to use Power BI to connect to and visualize data from multiple sources and build complete dashboards and analytical reports.ExcelProficient in advanced Excel functions.Experienced in creating PivotTables, charts, and other analytical reports.Able to efficiently handle daily data analysis and reporting tasks.
xysqume LanguageFluent in Italian, Chinese and English.