Marc Jacobs - Business Analyst Intern

Inside Lvmh; Greater London; On-site; GBP 28,000 - 48,000; Full time

Job summary

Inside Lvmh is seeking a Finance Data Analyst to join the EMEA business planning team. You will support brand retail activity with daily monitoring of business figures and reporting, while gaining exposure to merchandising planning and FP&A tasks.

You will manipulate large data sets using Power BI and MicroStrategy, maintain stock and performance reports, and collaborate with sales and marketing to implement merchandising strategies.

Qualifications

• Previous work experience in Finance or Commercial Data Analysis.
• 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.

Responsibilities

• Assist in monthly analysis by processing stock files and restocking opportunities.
• Maintain and update commercial and inventory level reports.
• Assist in realization and/or deepening of analyses according to the commercial and strategic priorities.
• 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.
• Assist in merchandising planning tasks and promotional activities.
• Collaborate with sales and marketing to communicate merchandising strategies.
• Work cross-functionally with Retail and Allocation to manage stock.

Skills

Excel

PowerPoint

Power BI

Data analysis

Finance knowledge

Education

Bachelor's degree in business/economics

Tools

SQL

MicroStrategy

Job description

Born in New York City in April 1963, Marc Jacobs attended the High School of Art and Design and graduated from Parson's School of Design. As a design student, Jacobs was the recipient of some of the School's highest honours including design student of the year.

In 1984, The Marc Jacobs Label was founded along with business partner Robert Duffy and has since become a global brand.

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

Job responsabilities

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.

Profile

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.