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- Tasks: Analyse data, create dashboards, and respond to client queries in a fast-paced environment.
- Company: Fast-growing hospitality business with exciting projects.
- Benefits: Competitive pay, flexible hours, and the chance to work on impactful projects.
- Why this job: Join a dynamic team and make a difference in the hospitality industry.
- Qualifications: Experience with large data sets and strong Excel skills required.
- Other info: Quick hiring process for motivated candidates ready to jump in.
The predicted salary is between 36000 - 60000 £ per year.
My client is a fast-growth, hospitality business currently looking for a Data Analyst to support on an upcoming project. The ideal candidate will have experience managing large data sets and will have strong Excel experience.
Responsibilities:
- Data cleansing
- Creating dashboards and visualisations
- Gathering client data and responding to queries
Requirements:
- Experience in a bid/commercial team
- Available at short-notice
This process will be moving quickly, if this opportunity is of interest then please do send your CV to ophelia@consultancygroup.com.
Data Analyst employer: The Consultancy Group (London)
Contact Detail:
The Consultancy Group (London) Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst
✨Tip Number 1
Network like a pro! Reach out to people in the hospitality industry, especially those who work with data. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data visualisations and dashboards. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Be ready to impress in interviews! Brush up on your Excel skills and be prepared to discuss how you've managed large data sets in the past. Real-life examples will make your experience shine.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find and apply for roles like this Data Analyst position. The quicker you apply, the better your chances!
We think you need these skills to ace Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with large data sets and Excel. We want to see how your skills match the job description, so don’t be shy about showcasing relevant projects!
Craft a Catchy Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for this Data Analyst role. We love seeing enthusiasm and a bit of personality, so let us know what excites you about this opportunity.
Showcase Your Data Skills: Since the role involves data cleansing and creating dashboards, consider including examples of your work. If you’ve got any visualisations or reports you can share, we’d love to see them!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any updates regarding your application status!
How to prepare for a job interview at The Consultancy Group (London)
✨Know Your Data Tools
Make sure you're well-versed in Excel and any other data analysis tools mentioned in the job description. Brush up on your skills with pivot tables, VLOOKUPs, and data visualisation techniques. Being able to demonstrate your proficiency will impress the interviewers.
✨Showcase Your Project Experience
Prepare to discuss specific projects where you've managed large data sets. Be ready to explain your role, the challenges you faced, and how you overcame them. This will show that you can handle the responsibilities of the Data Analyst position effectively.
✨Understand the Hospitality Industry
Familiarise yourself with the hospitality sector and its data needs. Research current trends and challenges in the industry. This knowledge will help you tailor your answers and show that you're genuinely interested in the role and the company.
✨Prepare Questions for Them
Have a few thoughtful questions ready to ask at the end of the interview. This could be about their data strategy or how they measure success in their projects. It shows that you're engaged and eager to learn more about the company and your potential role.
