Global Master Data Internship: Transform Supply Chain

Amplifon; Milano; Ibrido; EUR 12.000 - 14.000; Tempo pieno

Vantaggi offerti da questo lavoro

6-month internship

Monthly stipend

Full-time schedule

Smartworking

Remote work days

Restaurant access

Growth & Development

Descrizione del lavoro

Amplifon is seeking a Global Master Data Transformation Curricular Intern to support the Supply Chain digital transformation at the Milan headquarters. You will help implement item master data changes, set up cross-checks, and assist in monthly forecast discussions with the demand planner, working with multiple countries and departments to ensure error-free data flows.

Ideal candidates have an engineering/management/economics background, fluent English, strong Excel skills, and the ability to

Competenze

• Background in Engineering, Management, Economics or similar.
• Fluent English and ability to work with multicultural teams.
• Solid Microsoft Excel knowledge.
• Ability to manage multiple projects and communicate with stakeholders.
• Strong analytical and problem-solving skills with good organizational abilities.
• Knowledge of SQL, Python or R is a plus.

Mansioni

• Communicating and implementing changes to item master data.
• Set up automatic cross-checks to improve item data accuracy.
• Provide and obtain input to monthly forecasting meetings with demand planner.
• Collaborate with countries and departments to ensure data flows without errors.
• Analyze problems and identify data cleansing opportunities.

Conoscenze

English fluency

Communication

Analytical skills

Organizational skills

Formazione

Engineering/Management/Economics background

Strumenti

Excel

SQL

Python

R

Descrizione del lavoro

Amplifon is seeking a Global Master Data Transformation Curricular Intern to support the Supply Chain digital transformation at the Milan headquarters. You will help implement item master data changes, set up cross-checks, and assist in monthly forecast discussions with the demand planner, working with multiple countries and departments to ensure error-free data flows.

Ideal candidates have an engineering/management/economics background, fluent English, strong Excel skills, and the ability to