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- Tasks: Lead the development of top-notch data analytics and reporting capabilities.
- Company: Join a forward-thinking company focused on data-driven decision making.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make a significant impact by transforming data into actionable insights.
- Qualifications: Strong analytical skills and experience in data management.
- Other info: Collaborative environment with exposure to senior leadership.
The predicted salary is between 36000 - 60000 £ per year.
We are looking for an ambitious and analytically minded Data Analytics Manager to lead the development of a best-in-class data and reporting capability across the Group. Reporting to the Finance Director, you will work closely with the Sales & Marketing Director, Rooms Director, Executive Team and senior stakeholders across the business. Your focus will be on transforming data into actionable insights.
General Manager in Teddington employer: Heartwood Collection
Contact Detail:
Heartwood Collection Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land General Manager in Teddington
✨Tip Number 1
Network like a pro! Reach out to people in your industry, especially those who work at companies you're interested in. A friendly chat can open doors and give you insider info that could help you stand out.
✨Tip Number 2
Prepare for interviews by researching the company and its culture. We want you to know what makes them tick, so you can tailor your answers and show how you fit right in with their team.
✨Tip Number 3
Practice your pitch! You never know when you'll get a chance to introduce yourself. Keep it concise and highlight your key achievements, especially those related to data analytics and leadership.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace General Manager in Teddington
Some tips for your application 🫡
Read the Job Description Thoroughly: Before you start your application, take a good look at the job description. We want to see that you understand the role and how your skills fit in. Highlight any key points that resonate with your experience!
Tailor Your CV and Cover Letter: Don’t just send a generic CV! We love it when applicants tailor their documents to match the job. Use keywords from the job description and showcase relevant experiences that align with what we’re looking for.
Showcase Your Analytical Skills: As a Data Analytics Manager, we’re keen on seeing your analytical prowess. Include specific examples of how you've used data to drive decisions or improve processes in your previous roles. Numbers speak volumes!
Apply Through Our Website: When you're ready to submit your application, make sure to hit that apply button on 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 Heartwood Collection
✨Know Your Data
As a Data Analytics Manager, you’ll need to demonstrate your analytical skills. Brush up on key data concepts and be ready to discuss how you've used data to drive decisions in previous roles. Prepare examples that showcase your ability to transform data into actionable insights.
✨Understand the Business
Familiarise yourself with the company’s operations, especially in sales and marketing. Knowing how data impacts these areas will help you speak confidently about how you can contribute to their goals. Research recent projects or initiatives they’ve undertaken to show your genuine interest.
✨Prepare for Scenario Questions
Expect scenario-based questions that assess your problem-solving abilities. Think of situations where you had to analyse data under pressure or lead a team through a challenging project. Use the STAR method (Situation, Task, Action, Result) to structure your responses effectively.
✨Engage with Stakeholders
Since the role involves working closely with senior stakeholders, prepare to discuss how you would approach collaboration. Think of examples where you successfully communicated complex data findings to non-technical audiences. This will highlight your ability to bridge the gap between data and business strategy.
