Altro · Serravalle Scrivia, Piemonte, Italia · · 36.000€ - 48.000€


Descrizione dell'offerta

Objective of the role As a supportive member of the EMEA business planning team, you will assist in the brand’s retail activity with daily monitoring and analysis of business figures and key reporting. You will also gain experience in merchandising planning and FP&A tasks

Role & Responsibilities ANALYSIS & RETAIL BUSINESS PARTNERING

Assist in monthly analysis by processing stock files, analysing restocking opportunities and consolidating data

Maintaining and updating commercial & inventory levels reports

Assist in realization and/or deepening of analyses according to the commercial and strategic priorities of the moment

Provide ad-hoc analysis of business results for different stakeholders

Prepare content for review meetings together with the Business Planning Manager and FP&A Manager

MERCHANDISING PLANNING TASKS

Assist in the preparation of merchandising plans for specific product categories and stores

Support the team in planning and executing promotional activities and implementing price changes and markdowns

Collaborate with the sales and marketing teams to ensure effective communication of merchandising strategies

Work cross-functionally with Retail and Allocation to manage stock and resolve any issues quickly and effectively

ACTUAL REPORTING

Preparing weekly & monthly performance reports (Volume, Revenue, Variance Analysis, PnL, etc )

Participate to the month-end closing reporting tasks

DATA

Manipulate and visualize big data sets with different tools to empower Management for effective decision-making (particularly Power BI and Microstrategy)

Improve existing internal reports to gain efficiency.

Required Qualifications and Research Profile

Previous work experience in Finance or Commercial Data Analysis. Finance/Business acumen is an advantage.

A bachelor’s or master’s degree in business, Economics, or a related field.

Good command of Excel and PowerPoint.

Fluent in English (written and spoken).

Analytical skills and comfortable working with data.

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