Data Tech & Business Analyst
@ Moynat

Paris, Île-de-France, France
€60,000
On Site
Full Time
Posted 12 hours ago

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Job Details

About Moynat

Moynat, malletier d’excellence depuis 1849, est une Maison parisienne caractérisée par une créativité et un savoir-faire uniques. Rejoignez la famille Moynat pour partager votre passion.

Role Overview

The Data Tech & Business Analyst is responsible for data integration, analysis and reporting, supporting strategic decision-making for regional teams and the CODIR.

Business Analyst Responsibilities

  • Collaborate across teams to develop strategic reporting tools.
  • Build an omnichannel strategy for optimal customer journey.
  • Transform complex data into strategic insights.
  • Translate business needs into performance indicators.
  • Produce and analyze monthly sales, stock, RAL, and sell-through reports.
  • Present performance analyses to CODIR and regions.

Data Tech Responsibilities

  • Integrate new systems into the enterprise datalake.
  • Be a key contributor in launching new projects.
  • Improve tools to automate and secure data.
  • Provide critical insights on existing systems and processes.

Profile

Graduated from an engineering school or equivalent university studies. Approximately 2 years of Business Analyst experience (including internships) with solid technical aptitude to understand data flows. Proficient in GCP (Big Query), Power BI, and Excel with knowledge of SAP and POS systems. Must be rigorous, organized, and capable of documentation, with excellent analytical, synthesis, and teamwork skills. Fluent in English.

Key skills/competency

  • Data Analysis
  • Business Analysis
  • GCP
  • Power BI
  • Excel
  • SAP
  • Reporting
  • Integration
  • Strategy
  • Automation

How to Get Hired at Moynat

🎯 Tips for Getting Hired

  • Customize your resume: Tailor skills and experience to match the role.
  • Highlight technical skills: Emphasize GCP, Power BI, Excel expertise.
  • Research Moynat: Understand their heritage and data strategy.
  • Prepare case studies: Demonstrate past analytics and data integration.

📝 Interview Preparation Advice

Technical Preparation

Review GCP and Big Query documentation.
Practice building Power BI dashboards.
Test Excel data manipulations skills.
Understand data integration best practices.

Behavioral Questions

Describe a challenging data problem solved.
Explain teamwork in cross-functional environments.
Discuss handling tight deadlines effectively.
Share examples of critical decision-making.

Frequently Asked Questions