Product & Pricing Data Analyst
Doyen Auto
Job Overview
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Job Description
Product & Pricing Data Analyst
Do you enjoy transforming complex data into concrete business decisions? Are you looking for a key role at the heart of product performance for a European leader? Then this role is for you.
At Doyen Auto, a member of the PHE Group, we are strengthening our data organization within the Product, Marketing & Pricing department. Our future Product & Pricing Data Analyst will play an essential role in the reliability, analysis, and valorization of product and pricing data at the Group level.
Your Mission
Contribute directly to the Group's product performance by:
- Ensuring data quality and consistency
- Analyzing margins, turnovers, SKU performance, and price positioning
- Building clear, reliable, and actionable dashboards
- Supporting Product, Pricing, and Finance teams in their strategic decisions
Your Impact
You will be a key player in the Group's data structuring, working closely with local and central teams, and under the supervision of the Product & Pricing Data Manager.
Your Profile
- Solid mastery of Excel & BI tools (Power BI, SAP BO...)
- Comfortable with large volumes of data
- Strong analytical skills, rigor, and clear communication
- Fluent French + good level in Dutch & English
Key skills/competency
- Data Analysis
- Pricing Strategy
- Product Performance
- Business Intelligence
- Excel
- Power BI
- SAP BO
- Data Quality
- Financial Analysis
- Communication
How to Get Hired at Doyen Auto
- Research Doyen Auto's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
- Customize your resume: Highlight data analysis, pricing strategy, and BI tools expertise, tailoring it for the Product & Pricing Data Analyst role.
- Showcase analytical prowess: Prepare to discuss past projects where you transformed complex data into actionable business insights.
- Emphasize language skills: Demonstrate fluency in French, Dutch, and English, crucial for international team collaboration.
- Prepare for technical questions: Be ready to discuss your experience with Excel, Power BI, and SAP BO, and data handling skills.
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