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- Aufgaben: Analyze sales data and trends to drive product decisions and pricing strategies.
- Arbeitgeber: Join a dynamic team in the heart of Berlin, focused on fashion and e-commerce.
- Mitarbeitervorteile: Enjoy perks like a seasonal gift voucher, sports club membership, and German lessons.
- Warum dieser Job: Be part of a fast-paced environment where your analytical skills can shine and impact business.
- Gewünschte Qualifikationen: Must have experience in analytics, a relevant degree, and strong Excel skills.
- Andere Informationen: Experience in fashion or e-commerce is a plus; great communication in English required.
Das voraussichtliche Gehalt liegt zwischen 36000 - 60000 € pro Jahr.
Your tasks
- Data Analysis: Utilise various analytical tools and software to analyze historical sales data, inventory levels, and customer preferences to identify patterns and opportunities. This analysis helps in making data-driven decisions related to product selection, pricing, and promotional strategies.
- Sales Forecasting: Develop accurate sales forecasts based on historical data, market trends, and upcoming promotional activities. These forecasts help in planning inventory replenishment and aligning the supply chain accordingly.
- Pricing Analysis: Analyse pricing strategies to ensure competitive pricing and profit margins. Suggest price adjustments based on market conditions and competitive landscape.
- Performance Reporting: Prepare and present regular reports on merchandise performance, inventory turnover, and sales trends to relevant stakeholders.
- Work closely with our Product, Sales, Marketing and Operations teams and support flawless execution of day-to-day business, as well as, support in cross-functional internal projects .
- Ensure high quality, accuracy and consistency in our database, all reports and analysis.
Your profile
- Relevant work experience in an analytical role in a fast-paced environment (e.g. E-commerce, Retail, Start-up, etc.)
- University degree in a quantitative field with a strong business focus (e.g. Finance, Economics, Engineering, MBA).
- Advanced modelling skills in Excel / Google Sheets are a must.
- Solid understanding of the typical merchandise and e-commerce KPIs.
- Previous experience with BI and ERP systems (Looker or Oracle Netsuite is a strong plus).
- Very strong quantitative analytical skills and confident handling large datasets .
- Fashion/ e-commerce experience is a strong plus.
- Well-structured and organised way of working.
- Excellent communication skills in English.
Why us?
- A modern office in the center of Berlin.
- Once-per-season gift voucher, to be used on Aeyde footwear and accessories.
- Subsidized Urban Sports Club membership or Berlin Public Transport pass.
- German lessons for international employees.
#J-18808-Ljbffr
Merchandising Analyst (m/f/d) Arbeitgeber: Aeyde
Kontaktperson:
Aeyde HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Merchandising Analyst (m/f/d)
✨Tip Number 1
Familiarize yourself with the key performance indicators (KPIs) relevant to merchandising and e-commerce. Understanding these metrics will not only help you in your analysis but also demonstrate your knowledge during interviews.
✨Tip Number 2
Brush up on your Excel and Google Sheets skills, especially advanced modeling techniques. Being able to showcase your proficiency in these tools can set you apart from other candidates.
✨Tip Number 3
Gain insights into the latest trends in the fashion and e-commerce industries. This knowledge will be beneficial when discussing pricing strategies and sales forecasting during the interview process.
✨Tip Number 4
Prepare to discuss your previous analytical experiences in detail, particularly how you've used data to drive decisions in fast-paced environments. Real-life examples will help illustrate your capabilities to the hiring team.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Merchandising Analyst (m/f/d)
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure to thoroughly read the job description for the Merchandising Analyst position. Understand the key responsibilities such as data analysis, sales forecasting, and performance reporting, and think about how your experience aligns with these tasks.
Highlight Relevant Experience: In your application, emphasize any relevant work experience in analytical roles, especially in fast-paced environments like e-commerce or retail. Be specific about your achievements and how they relate to the responsibilities listed in the job description.
Showcase Technical Skills: Clearly outline your advanced skills in Excel or Google Sheets, as well as any experience with BI and ERP systems. Mention specific projects where you utilized these tools to analyze data or improve processes.
Craft a Strong Cover Letter: Write a tailored cover letter that connects your background to the company's needs. Discuss your passion for fashion and e-commerce, and how your analytical skills can contribute to their success. Make it personal and engaging to stand out.
Wie du dich auf ein Vorstellungsgespräch bei Aeyde vorbereitest
✨Showcase Your Analytical Skills
Be prepared to discuss your experience with data analysis tools and how you've used them to drive business decisions. Highlight specific examples where your analysis led to successful outcomes in previous roles.
✨Understand Key Performance Indicators
Familiarize yourself with the key merchandise and e-commerce KPIs relevant to the role. Be ready to explain how you have tracked and utilized these metrics in past positions to improve sales and inventory management.
✨Demonstrate Your Forecasting Abilities
Prepare to discuss your approach to sales forecasting. Share any methodologies or tools you’ve used to develop accurate forecasts and how they impacted inventory planning and supply chain alignment.
✨Communicate Effectively
Since excellent communication skills are essential, practice articulating your thoughts clearly and concisely. Be ready to present your ideas and findings as if you were addressing stakeholders, showcasing your ability to convey complex information simply.
