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- Tasks: Analyse large-scale data to drive business insights and improve efficiency.
- Company: Agoda, a leading travel platform with a focus on innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Fast-paced environment with a strong emphasis on collaboration and problem-solving.
- Why this job: Join a dynamic team and make impactful decisions through data analysis.
- Qualifications: Degree in Mathematics or related field; proficiency in SQL and Tableau required.
The predicted salary is between 35000 - 45000 £ per year.
Agoda is looking for an Analyst/Senior Analyst in Manchester to work with data for business insights and decision-making. You will analyze large-scale data, partner with teams to drive data-driven projects, and improve organizational efficiency through automation.
A degree in Mathematics or a related field is required, along with proficiency in data analysis tools like SQL and Tableau. This role demands problem-solving skills and the ability to work under pressure, as well as strong communication capabilities.
Senior Data Analyst, Product Insights in Manchester employer: Agoda
Contact Detail:
Agoda Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst, Product Insights in Manchester
✨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 data analysis projects, especially those using SQL and Tableau. This will help us demonstrate our expertise during interviews.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions for data analysts. We can even do mock interviews with friends to boost our confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure our application gets noticed. Plus, we can tailor our application to highlight how we fit the Senior Data Analyst role perfectly.
We think you need these skills to ace Senior Data Analyst, Product Insights in Manchester
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with data analysis tools like SQL and Tableau in your application. We want to see how you've used these skills to drive insights and improve efficiency in past roles.
Tell Your Story: Use your cover letter to share specific examples of how you've tackled complex problems or worked under pressure. We love hearing about real-life situations where you've made a difference!
Be Clear and Concise: When filling out your application, keep your language straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s necessary to showcase your expertise.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Agoda
✨Know Your Data Tools
Make sure you brush up on your SQL and Tableau skills before the interview. Be ready to discuss specific projects where you've used these tools to derive insights or automate processes. This will show that you not only know how to use them but can also apply them effectively in real-world scenarios.
✨Showcase Problem-Solving Skills
Prepare examples of how you've tackled complex data challenges in the past. Think about situations where you had to analyse large datasets under pressure and what strategies you employed to overcome obstacles. This will demonstrate your analytical thinking and resilience.
✨Communicate Clearly
Since strong communication is key for this role, practice explaining your data findings in a clear and concise manner. You might be asked to present a case study or explain a previous project, so make sure you can articulate your thought process and the impact of your work effectively.
✨Understand the Business Context
Research Agoda and its business model. Understand how data analysis contributes to their decision-making processes. Being able to connect your technical skills with their business goals will set you apart and show that you're genuinely interested in the role.