Internship within the Supply Chain Team

Fendi; Roma; On-site; EUR 8,100 - 9,700; Full time

Benefits offered by this job

Lunch tickets

800 EUR gross monthly reimbursement

Job summary

Fendi is seeking an intern to join the Supply Chain team, supporting demand planning and process improvements. The project focuses on building a model that combines historical data, inputs, and assumptions to enhance forecast visibility and decision-making, with reporting, scenario analysis, and KPI tracking.

The role offers hands-on experience in Demand Planning, analytics, and cross-functional collaboration, with exposure to Excel, Power BI, and sustainability considerations in inventory and

Qualifications

• Master's degree in a relevant field or in progress.
• Strong analytical mindset and experience handling large datasets.
• Advanced Excel skills required; knowledge of Power BI helpful.

Responsibilities

• Collect, clean, and structure historical sales, demand, stock, and planning data.
• Analyze demand patterns, seasonality, trends, outliers, and forecast bias.
• Develop a demand-planning model in Excel and Power BI or similar tools.
• Define forecast accuracy KPIs and compare against baselines.
• Create scenarios and sensitivity analyses for monthly planning reviews.
• Collaborate with stakeholders to collect inputs and validate outputs.
• Prepare dashboards, guidance, and process documentation; present findings.

Skills

Analytical mindset

Autonomy

English fluency

Education

Master's degree in Supply Chain Management, Engineering, Economics, Statistics, Data Science, or related field

Tools

Excel

Power BI

Power Query

Job description

Fendi is looking for an intern to join the Supply Chain team, providing support across team activities with a primary focus on demand planning and planning process improvement.

The project focuses on developing a model that integrates historical demand data, business inputs, and planning assumptions to improve forecast visibility, support decision‑making, and drive structured reporting, scenario analysis, and KPI tracking.

Job responsibilities

• Collect, clean, and structure historical sales, demand, stock, and planning data from relevant sources.
• Analyse demand patterns, seasonality, trends, outliers, and forecast bias at the appropriate product and market levels.
• Develop a demand‑planning model in Excel and, where applicable, Power BI or other approved analytical tools.
• Define forecast accuracy and bias KPIs, including WAPE/MAPE, bias, and value‑add comparisons versus baseline forecasts.
• Create alternative scenarios and sensitivity analyses to support monthly planning and business reviews.
• Collaborate with Demand Planning, Supply Planning, Merchandising, Retail, and Finance stakeholders to collect assumptions and validate outputs.
• Prepare dashboards, user guidance, and process documentation, and present findings and recommendations to the Supply Chain team.
• Understanding of how analytical supply chain planning contributes to corporate sustainability goals, waste reduction, and responsible inventory management.

Profile

• Master's degree in Supply Chain Management, Engineering, Economics, Statistics, Data Science, or a related field, completed or in progress.
• Strong analytical mindset and confidence working with large datasets; advanced Excel skills are required.
• Knowledge of Power BI, Power Query, or statistical forecasting methods is a plus.
• Structured, curious, and proactive approach, with attention to detail and the ability to work autonomously.
• Clear communication, collaborative attitude, and professional fluency in English; Italian is a plus.
• Interest in demand planning, retail, and luxury business dynamics.

Additional information

For internship programs, the monthly reimbourse associated is EUR 800 gross.
This role is also eligible for lunch tickets.

LVMH is committed to non‑discrimination and respect of each person’s singularities. We recognize and recruit all types of talent

• Gain hands‑on knowledge of demand‑planning principles, forecast baselines, seasonality, and exception management.
• Build advanced data analysis and modelling skills using Excel, with exposure to Power BI and structured data visualisation.
• Learn to define and interpret forecast KPIs such as WAPE/MAPE, bias, and forecast value add.
• Gain an understanding of end‑to‑end Supply Chain planning processes and cross‑functional planning governance.
• Develop project management, stakeholder communication, problem‑solving, and presentation skills.
• Translate analytical findings into practical business recommendations while understanding how analytical planning contributes to sustainability and responsible inventory management.

The FendiMaison was established by Adele and Edoardo Fendi in Rome in 1925. The opening of the first Fendiboutique – a handbag shop and fur workshop followed. Soon winning international acclaim, Fendi emerged as a brand renowned for its elegance, craftsmanship, innovation and style.

Called by the legendary five Fendi sisters, the collaboration with the late Karl Lagerfeld began back in 1965 and lasted 54 years. In 1992, Silvia Venturini Fendi seconded him in the Artistic Direction; in 1994, she is given the direction of Accessories and later of Menswear.

In 2000, the LVMH group acquires Fendi becoming in 2001 its majority shareholder. Appointed in 2020, Kim Jones held the role of Artistic Director of Couture and Womenswear until 2024. Since 2020, Delfina Delettrez Fendi, fourth generation of the Fendi family, is Artistic Director of Jewellery. Today Fendi is synonymous with quality, tradition, experimentation and creativity.