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Data Analyst
AZGROUPPROD
Saint-Ouen-sur-Seine, Ile-de-France, FranceOn Site
Original Job Summary
Overview
In the Global Operations (COO) function, the Workforce Management department is your domain. As a Data Analyst at AZGROUPPROD, you will oversee reporting and analysis of Workforce Management metrics, ensuring operational volumes are managed effectively and KPIs are met.
Key Responsibilities
- Generate and maintain regular reports on performance indicators.
- Analyze data to spot trends and actionable insights.
- Develop dashboards and visualizations for clear data presentation.
- Collaborate with cross-functional teams on data consistency.
- Support strategy development for optimized staffing plans and operations.
- Document processes for transparency and reproducibility.
- Handle ad-hoc analysis requests from executives.
Requirements
- 2+ years experience in data analysis/reporting roles.
- Proficiency in Microsoft Excel, Power BI, and SQL.
- Strong data visualization and communication skills.
- Experience with databases and process systems.
- Fluency in English; Python skills are a plus.
What We Offer
A supportive global environment that fosters professional development, international mobility, and excellent work-life balance through various development programs and wellness initiatives.
Key skills/competency
- Data Analysis
- Reporting
- Dashboard Development
- Data Visualization
- Workforce Metrics
- Strategic Planning
- SQL
- Excel
- Power BI
- Python
How to Get Hired at AZGROUPPROD
🎯 Tips for Getting Hired
- Customize your resume: Tailor skills in data analysis and reporting.
- Highlight technical expertise: Emphasize Excel, Power BI, and SQL skills.
- Research AZGROUPPROD: Understand their global operations and culture.
- Prepare for interviews: Practice data analytics and visualization scenarios.
📝 Interview Preparation Advice
Technical Preparation
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Review Excel and SQL functions.
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Practice Power BI dashboard creation.
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Study Python data processing basics.
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Refresh database querying techniques.
Behavioral Questions
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Explain a complex analysis project.
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Describe teamwork in multicultural settings.
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Detail solving data discrepancies.
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Share experience on handling ad-hoc requests.