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- Tasks: Transform complex customer data into actionable insights for growth and retention.
- Company: Leading analytics firm in the UK with a focus on innovation.
- Benefits: Competitive salary of £75k, 15% bonus, and remote work flexibility.
- Why this job: Make a real impact by driving growth through data-driven insights.
- Qualifications: Extensive experience in enterprise customer analytics and proficiency in Excel and PowerBI.
- Other info: Join a dynamic team with opportunities for professional development.
The predicted salary is between 60000 - 84000 £ per year.
A leading analytics firm in the United Kingdom is seeking a Senior Enterprise Customer Analytics Manager to transform complex customer data into actionable insights for growth and retention. The role involves developing predictive models, analyzing performance metrics, and presenting findings to senior stakeholders.
Candidates should have extensive experience in enterprise customer analytics and proficiency in analytics tools like Excel and PowerBI.
This position offers a competitive salary of £75k with a 15% bonus and a remote work environment.
Remote Senior Enterprise Analytics & Growth Lead in London employer: Xpertise
Contact Detail:
Xpertise Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Senior Enterprise Analytics & Growth Lead in London
✨Tip Number 1
Network like a pro! Reach out to folks in the analytics field on LinkedIn or at industry events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your predictive models and performance metrics analysis. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by practising common questions related to customer analytics. We recommend using the STAR method to structure your answers – it’s a great way to highlight your experience effectively.
✨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 Remote Senior Enterprise Analytics & Growth Lead in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in enterprise customer analytics. We want to see how you've transformed complex data into actionable insights, so don’t hold back on those examples!
Showcase Your Skills: Proficiency in tools like Excel and PowerBI is key for this role. Be sure to mention any specific projects where you’ve used these tools to analyse performance metrics or develop predictive models.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for the Senior Enterprise Analytics & Growth Lead role. We love seeing passion and clarity in your writing.
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’re considered for this exciting opportunity!
How to prepare for a job interview at Xpertise
✨Know Your Analytics Tools Inside Out
Make sure you’re well-versed in the analytics tools mentioned in the job description, like Excel and PowerBI. Prepare to discuss specific projects where you've used these tools to derive insights or improve performance metrics.
✨Showcase Your Predictive Modelling Skills
Be ready to talk about your experience with developing predictive models. Bring examples of how your models have led to actionable insights that contributed to growth and retention in previous roles.
✨Prepare for Stakeholder Presentations
Since you'll be presenting findings to senior stakeholders, practice summarising complex data into clear, concise insights. Think about how you can communicate your results effectively, perhaps even preparing a mini-presentation to demonstrate your skills.
✨Research the Company and Its Analytics Approach
Familiarise yourself with the company’s analytics strategies and recent projects. This will not only help you tailor your answers but also show your genuine interest in their work and how you can contribute to their goals.
