Retail Data Analysis

09 set - Milano
Xiaomi Technology

Job Description: Data Management
Take 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 data
Store master data
Employee/store relationship data
Store-retailer relationship data
Business rules, including sales, inventory, assortment, and expense calculation rules
Ensure RMS data remains complete, accurate, and up to date.
System Implementation & Adoption
Follow 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 Improvement
Collect and manage local business and system issues, including:
System performance issues
Functionality issues
User experience issues
Business process issues
Provide timely feedback and follow up with the relevant teams until issues are resolved.




Continuously identify opportunities to improve system functionality and business processes.

Le seguenti informazioni forniscono una panoramica delle competenze, delle qualità e delle qualifiche necessarie per questo ruolo.
Key Technical Skills
Data Analysis & Visualization
Proficient 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.
SQL
Proficient 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.
Excel
Proficient in advanced Excel functions.
Experienced in creating PivotTables, charts, and other analytical reports.
Able to efficiently handle daily data analysis and reporting tasks. xrdbqlu
Language
Fluent in Italian, Chinese and English.

Operaio/a addetto/a assistente alla sbavatura

09 set - Lombardia
Ali Lavoro

Opportunità di Lavoro Flessibile - Insegnante per Lezioni Private di Inglese

09 set - Cedrasco
Letuelezioni

Ricevi nuove offerte di lavoro

Crea una Job Alert gratuita per retail data analysis / milano

I nostri clienti hanno richiesto imprese edili per ristrutturazione esterna edifici a Ciampino

09 set - Ciampino
Ernesto

I nostri clienti hanno richiesto parquettisti per montare parquet a Collegno

09 set - Collegno
Ernesto