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- Tasks: Analyse large datasets and drive analytical projects to optimise business performance.
- Company: Agoda, a leading travel platform in Greater London.
- Benefits: Competitive salary, flexible working hours, and opportunities for impactful projects.
- Other info: Join a collaborative environment with great potential for career growth.
- Why this job: Make a real difference in a dynamic team while enhancing your analytical skills.
- Qualifications: Bachelor's in Statistics or Mathematics with programming skills in R, Python, or Spark.
The predicted salary is between 50000 - 70000 £ per year.
Agoda in Greater London is looking for an analytics professional to join their Supply Optimization team. This role involves analyzing large datasets, driving analytical projects, and optimizing business performance.
The ideal candidate holds a Bachelor's in Statistics or Mathematics, has a strong background in statistics, and is proficient in programming languages such as R, Python, or Spark.
The position offers opportunities to work on impactful projects and contribute significantly to the company's success.
Manager, Supply Analytics & Optimisation in London employer: Agoda
Contact Detail:
Agoda Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Manager, Supply Analytics & Optimisation in London
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Agoda on LinkedIn. A friendly chat can give us insider info and might even lead to a referral.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your analytical projects, especially those involving R, Python, or Spark. This will help us stand out during interviews.
✨Tip Number 3
Practice makes perfect! Brush up on common interview questions related to data analysis and optimisation. We can even do mock interviews with friends to build confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can tailor our CVs and cover letters to match what Agoda is looking for.
We think you need these skills to ace Manager, Supply Analytics & Optimisation in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with large datasets and analytical projects. We want to see how your background in statistics or mathematics aligns with the role, so don’t hold back on showcasing relevant skills!
Show Off Your Programming Skills: Since proficiency in programming languages like R, Python, or Spark is key, include specific examples of how you've used these tools in past projects. We love seeing practical applications of your skills!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about supply analytics and how you can contribute to our team. Let us know what excites you about working on impactful projects at Agoda.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you’re considered for the role you’re excited about!
How to prepare for a job interview at Agoda
✨Know Your Numbers
Make sure you brush up on your statistics and analytics knowledge. Be prepared to discuss specific projects where you've used data analysis to drive decisions. This will show that you not only understand the theory but can also apply it in real-world scenarios.
✨Show Off Your Coding Skills
Since proficiency in programming languages like R, Python, or Spark is key for this role, be ready to talk about your experience with these tools. You might even want to prepare a small coding challenge or example project to demonstrate your skills during the interview.
✨Understand the Business
Research Agoda and its Supply Optimization team. Familiarise yourself with their current projects and challenges. This will help you tailor your answers and show that you're genuinely interested in contributing to their success.
✨Prepare Questions
Interviews are a two-way street! Prepare insightful questions about the team’s goals, the types of datasets you'll be working with, and how success is measured in this role. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.