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Data Analyst Assistant

LVMH
Found 1 month ago
Location
Paris, France
Duration (Months)
6 Months
Time
Full-time
Work Mode
Hybrid
Salary
Not disclosed
Visa Help
Not disclosed
Last Verified
1 month ago

Education

  • Bachelor
  • Master
  • PhD

Skills & Qualifications

Technical Skills

  • Power BI
  • Anaplan
  • GCP
  • Excel

Soft Skills

  • problem-solving mindset
  • analytical skills
  • communication skills

Job Description

Within the T ravel Retail Central Finance Team, the Data Analyst will assist the Senior Business Controller in business intelligence, data management, consolidation and reporting. Your area of activity includes the following tasks : Data management * Support the maintenance of data systems (Power BI, Anaplan) by assisting with data integration, mapping updates, and data reconciliation * Help extract and transform financial data reports to provide analytic insights and clear visualizations for stakeholders (Finance, Marketing, Sales, Top Management) * Assist in organizing trainings for key users Liaise with system IT teams to help troubleshoot issues when needed * Contribute recommendations on best practices and support technological watch * Act as a point of contact for internal business users and Power BI consultants Support GTR consolidation * Assist GTR controller on all month-end close analysis (Monthly Sell-in, Sell-out, P&L, MMF etc.) * Participate in reporting phases of Global Travel Retail (Budget, LE1, LE2, R&O and Actuals) * Support ad-hoc analysis for top management (Business reviews, customer / product analysis etc.)

Requirements

  • Currently enrolled in business, data science or engineering program
  • Excel has no secret for you / a first experience with Power BI and Anaplan is a must
  • Knowledge of GCP is a plus
  • Fluent English and French (written/spoken)
  • A problem-solving mindset, you know how to deal with complexity and thrive in a dynamic working environment
  • Strong analytical and communication skills

Related Field

  • Data & Analytics

Related Subfield

  • Data Analysis

Languages

  • English
  • French

Nice to Haves

  • Knowledge of GCP
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