At a Glance
- Tasks: Analyse data to drive sales insights and create impactful dashboards.
- Company: Leading hotel group in London with a focus on innovation.
- Benefits: Competitive salary, employee perks, and a vibrant work culture.
- Why this job: Join a dynamic team and make a real difference in the hospitality industry.
- Qualifications: Detail-oriented with strong English skills and advanced MS Office knowledge.
- Other info: Opportunity to thrive in a fast-paced environment with growth potential.
The predicted salary is between 36000 - 60000 £ per year.
A prominent hotel group in London seeks a Data Analyst for its Central Sales Office. This role focuses on overseeing data management, generating reports, and improving internal systems to support the sales teams.
The ideal candidate will be detail-oriented with strong English skills and advanced MS Office proficiency. A passion for hospitality is crucial, along with the ability to work with minimal supervision in a dynamic environment.
The position offers a competitive salary and various employee perks.
Hospitality Data Analyst — Drive Sales Insights & Dashboards employer: Millennium Hotels UK/EU - Careers
Contact Detail:
Millennium Hotels UK/EU - Careers Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hospitality Data Analyst — Drive Sales Insights & Dashboards
✨Tip Number 1
Network like a pro! Reach out to people in the hospitality industry, especially those working in data roles. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those related to sales insights. This will give potential employers a taste of what you can bring to their team.
✨Tip Number 3
Prepare for interviews by brushing up on common data analysis questions and scenarios specific to the hospitality sector. We want you to shine when discussing how you can improve their sales systems!
✨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 about their job search.
We think you need these skills to ace Hospitality Data Analyst — Drive Sales Insights & Dashboards
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data management and reporting, especially in hospitality. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for hospitality and how you can drive sales insights. We love seeing personality, so let us know why you’re excited about this opportunity.
Show Off Your MS Office Skills: Since advanced MS Office proficiency is key for this role, make sure to mention any specific tools or functions you’re comfortable with. We’re looking for someone who can hit the ground running!
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 our team!
How to prepare for a job interview at Millennium Hotels UK/EU - Careers
✨Know Your Data
Make sure you brush up on your data management skills before the interview. Be prepared to discuss how you've used data to drive sales insights in previous roles. Having specific examples ready will show your expertise and passion for the hospitality industry.
✨Showcase Your Reporting Skills
Since generating reports is a key part of this role, be ready to talk about the types of reports you've created in the past. Bring along samples if possible, and explain how they helped improve internal systems or support sales teams.
✨Demonstrate Your MS Office Proficiency
Advanced MS Office skills are a must for this position. During the interview, highlight your experience with Excel, especially any complex functions or data visualisation techniques you've used. This will help illustrate your ability to manage and analyse data effectively.
✨Emphasise Your Adaptability
Working in a dynamic environment means being adaptable. Share examples of how you've successfully navigated changes or challenges in previous jobs. This will show that you can thrive with minimal supervision and contribute positively to the team.