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- Tasks: Lead the transformation of pricing strategy into an automated, data-driven process.
- Company: Join ASOS, a leading name in retail and e-commerce.
- Benefits: Enjoy 25 days of paid leave and a discretionary bonus scheme.
- Other info: Collaborate with diverse teams and influence key stakeholders.
- Why this job: Make a real impact on pricing strategies in a dynamic environment.
- Qualifications: Strong analytical skills with experience in SQL and Python.
The predicted salary is between 60000 - 80000 £ per year.
ASOS is looking for a Senior Manager, Pricing Analytics & Optimisation to lead the transformation of their pricing strategy into an automated, data-led process. The role requires strong analytical skills, including proficiency in SQL and Python, and involves collaborating with various teams to ensure effective pricing decisions.
Ideal candidates will have significant experience in the retail or ecommerce sectors and a proven ability to influence stakeholders.
The role offers numerous perks including 25 days of paid annual leave and a discretionary bonus scheme.
Senior Pricing Analytics & Automation Lead employer: ASOS
Contact Detail:
ASOS Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Pricing Analytics & Automation Lead
✨Tip Number 1
Network like a pro! Reach out to people in the retail and ecommerce sectors, especially those who work at ASOS or similar companies. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Show off your skills! If you’re proficient in SQL and Python, consider creating a small project or analysis that showcases your abilities. Share it on LinkedIn or during interviews to demonstrate your expertise in pricing analytics.
✨Tip Number 3
Prepare for collaboration! Since this role involves working with various teams, think about examples from your past where you influenced stakeholders or worked cross-functionally. Be ready to share these stories in your conversations.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive and engaged with our platform.
We think you need these skills to ace Senior Pricing Analytics & Automation Lead
Some tips for your application 🫡
Show Off Your Analytical Skills: Make sure to highlight your analytical prowess in your application. We want to see your experience with SQL and Python shining through, so don’t hold back on those details!
Tailor Your Application: Take a moment to customise your CV and cover letter for this role. We love seeing how your past experiences in retail or ecommerce align with what we’re looking for at ASOS.
Collaborate Like a Pro: Since the role involves working with various teams, share examples of how you’ve successfully collaborated in the past. We’re keen to know how you’ve influenced stakeholders and driven results!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at ASOS
✨Know Your Numbers
Make sure you brush up on your analytical skills, especially in SQL and Python. Be prepared to discuss specific examples of how you've used these tools to drive pricing strategies in your previous roles.
✨Showcase Your Collaboration Skills
Since the role involves working with various teams, think of instances where you've successfully collaborated with others. Highlight how you influenced stakeholders and made data-driven decisions that benefited the overall strategy.
✨Understand ASOS's Pricing Strategy
Do your homework on ASOS’s current pricing strategy and any recent changes in the retail or ecommerce landscape. This will help you demonstrate your knowledge and show that you're genuinely interested in the company and its goals.
✨Prepare for Scenario Questions
Expect scenario-based questions that assess your problem-solving abilities. Think about challenges you've faced in pricing analytics and how you approached them. Use the STAR method (Situation, Task, Action, Result) to structure your answers.