At a Glance
- Tasks: Transform business insights into actions for retail growth in the UK and Ireland.
- Company: Join the iconic House of Dior, a leader in luxury fashion and beauty.
- Benefits: Competitive salary, growth opportunities, and a dynamic work environment.
- Other info: Collaborative culture that values creativity and personal development.
- Why this job: Be a key player in driving retail success with data-driven insights.
- Qualifications: Analytical mindset, project management skills, and proficiency in Excel and Power BI.
The predicted salary is between 33075 - 40425 £ per year.
REPORTS TO: Commercial insight & Forecasting Manager
PURPOSE To turn business insights into actions which deliver increased retail growth in the UK and Ireland market.
MAIN RESPONSIBILITIES
- To prepare daily, weekly and monthly retail sales reports for management ensuring accuracy and timely delivery.
- Be the commercial champion for Power BI - Work in partnership with the Business Application Manager and the Commercial Managers for all retailers, to ensure the successful implementation of Power BI for the UK sales team.
- Be the lead for PBI roll out including creating and training super users and successfully manage the rollout company wide.
- Use Power BI to provide weekly data and insights.
- Find new ways to amalgamate current reports between retail and commercial opportunities.
- Provide commercial insights: Weekly, Monthly, Quarterly insights into sales performance and the impact to company and stock.
- Work with Circana data to check sales data and provide data versus market.
- Identify, on an ongoing basis, opportunities to enhance and issues which are negating retail sales.
- Work with the management team to define KPIs and prepare a KPI report monthly.
- Create and analyse sales trackers for newness, seasonal lines and key lines trackers, providing accurate sales data and analysis.
- Prepare weekly inventory reports and recommended action plans to Sales Managers.
- Work with the Finance Brand Analyst/Controller daily to ensure consistency and accuracy of sales and financial data, and to track retail sales performance versus wholesale sales.
- Manage the process of setting and reviewing group retail sales targets with the Commercial Managers and the store targets.
- Provide retailer sales data for commercial managers on a monthly basis, providing sales and intake performance.
- Support with AD HoC reports for the commercial team.
PERSON SPECIFICATION
- Analytical: The desire to understand the underlying root causes of issues.
- Project Management: The ability to initiate, scope and manage complex cross functional projects. Confident at working on ad hoc projects which may have short deadlines.
- Commercial Awareness: An understanding of the impact of actions upon the P&L and sensitive to the differing objectives of retailers and internal cross functional teams.
- Problem solving: A constant quest to improve the status quo and improve effectiveness, through identification of and recommending solutions to resolve issues and maximize opportunities.
- Presentation Skills: Strong ability to articulate analysis into recommended action plans to senior management and retailers.
- Technical Skills: MS Office, including MS MapPoint and Access DB, Advanced Excel and PowerPoint. Degree qualified with a high level of mathematical ability.
The Commercial Analyst will be an inquisitive, self-motivated, team player, who will create opportunities and be able to articulate them across the organisation. The Analyst may be Finance trained and wishing to develop their career in a more commercial role, whilst still working closely with Finance.
DIOR Commercial Analyst employer: LVMH Group
As a leading beauty retailer in Belfast, we pride ourselves on fostering a vibrant and inclusive work culture that values every team member's contribution. Our commitment to employee growth is reflected in our professional training programmes and the opportunity for performance-based commission, ensuring that your passion for beauty translates into meaningful rewards. Join us to be part of a dynamic team dedicated to delivering exceptional customer service while enjoying generous employee discounts and a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land DIOR Commercial Analyst
✨Get to Grips with Data Visualisation Tools
If you're aiming for a full-time role in business intelligence, brush up on your skills with popular data visualisation tools like Tableau or Power BI. Showcasing projects where you've transformed raw data into clear visual insights can give you a real edge.
✨Join Local Business Intelligence Meetups
Look for local business intelligence meetups or analytics conferences in your area. These events are not just great for learning but also for networking with industry professionals who could lead you to opportunities at companies like LVMH Group!
✨Engage with Online BI Communities
Join online forums or communities focused on business intelligence—think LinkedIn groups, Reddit threads, or even dedicated Slack channels. Engage actively by sharing your insights and asking questions; this can help you build visibility and connect with potential employers.
✨Leverage Your University’s Career Support
If you're a recent graduate, definitely tap into your university's career services. Many have connections with companies in need of full-time BI specialists, and they can guide you on how to pitch yourself effectively—don't miss out on that!
We think you need these skills to ace DIOR Commercial Analyst
Some tips for your application 🫡
Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.
Showcase Your Business Acumen:Don't just focus on data; show us how you can apply your insights to real-world business problems. Highlight projects where you made a tangible impact on company performance, and be prepared to explain your thought process in your cover letter.
Tailor Your Documents for Us:When applying for a full-time role at LVMH Group, tailor your CV and cover letter to reflect our organisational goals and strategies. Mention specific tools and methodologies that align with what we do—this shows you’ve done your homework and are genuinely interested in our mission!
Include Relevant Certifications:Certifications like Google Data Analytics or similar qualifications can really make you stand out in business intelligence. Include these in your application, as they demonstrate your commitment to the field and your willingness to stay current with industry standards.
How to prepare for a job interview at LVMH Group
✨Show off your analytical skills
In a business intelligence role, you're going to need to demonstrate your analytical prowess. Be prepared to discuss specific tools you've used, like SQL, Tableau, or Power BI. Have real-world examples ready where you’ve turned data into actionable insights – this is what makes us shine in interviews!
✨Practice your technical know-how
Expect some technical questions during the interview that dive deep into your understanding of data modelling and analytics frameworks. Brush up on your knowledge of data warehousing concepts and be ready to tackle any real case scenarios they might present. They’ll want to see how you approach problems using your BI toolkit.
✨Portfolio of Projects
Since it's a full-time role, having a strong portfolio is key! Compile case studies demonstrating your previous projects, preferably showing how your insights led to business improvements. This can help us display how you think through complex datasets and your problem-solving process, which is what employers are keen on seeing.
✨Know their business model
Get familiar with LVMH Group’s business model and recent data-driven decisions. Be prepared to discuss how your skills can specifically support their objectives or challenges. Understanding their landscape shows that you’re not just a data buff, but you’re also genuinely interested in how BI can impact their bottom line.
