Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Transform complex data into insights that drive growth and profitability.
- Company: Dynamic company focused on enterprise customer analytics.
- Benefits: Competitive salary, bonus, and remote work flexibility.
- Why this job: Make a real impact by shaping strategies across teams.
- Qualifications: Experience in analytics, predictive modelling, and strong communication skills.
- Other info: Opportunity to influence key business decisions and grow your career.
The predicted salary is between 54000 - 84000 £ per year.
We are looking for a senior analytics professional to turn complex enterprise customer data into actionable insights that drive growth, retention, and profitability. This role is influential across commercial, sales, marketing, and product teams, providing intelligence to shape strategy and optimise performance.
What you will do:
- Develop and maintain predictive models to understand churn, upgrade propensity, and customer lifetime value.
- Analyse enterprise customer activity, ARPU, margin, and sales channel performance to identify opportunities for growth.
- Deliver forecasting and reporting on enterprise activity to guide decision making.
- Evaluate the effectiveness of commercial initiatives and campaigns, influencing strategy across the business.
- Collaborate with data, finance, and platform teams to improve analytics capability, data quality, and governance.
- Present findings and insights to senior stakeholders in a clear, actionable way.
What we are looking for:
- Proven experience in enterprise customer analytics, reporting, and forecasting.
- Strong skills in predictive modelling, churn analysis, and performance evaluation.
- Proficiency with analytics tools such as Excel, PowerBI, or equivalent.
- Ability to translate complex data into clear recommendations for business decision makers.
- Experience influencing cross-functional teams without direct reports.
- Strong analytical mindset, business acumen, and attention to detail.
Key outcomes:
- Increased enterprise net adds and reduced churn.
- Growth in ARPU and overall enterprise margin.
If you are interested then please apply with your full CV and I will be in touch.
Senior Enteprise Analytics Manager employer: Xpertise
Contact Detail:
Xpertise Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Enteprise Analytics Manager
✨Tip Number 1
Network like a pro! Reach out to connections in the analytics field, especially those who work in enterprise customer analytics. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your predictive models and analytics projects. When you get that interview, having tangible examples will help you stand out and demonstrate your expertise.
✨Tip Number 3
Practice your pitch! Be ready to explain how your experience aligns with the role. Focus on how you've turned complex data into actionable insights that drove growth and retention in previous roles.
✨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 Senior Enteprise Analytics Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Senior Enterprise Analytics Manager. Highlight your experience with predictive modelling and customer analytics, and don’t forget to mention any tools like Excel or PowerBI that you’ve used.
Showcase Your Achievements: When detailing your past roles, focus on specific achievements that demonstrate your ability to drive growth and reduce churn. Use numbers and examples to make your impact clear – we love a good success story!
Keep It Clear and Concise: We appreciate clarity! Make sure your application is easy to read and gets straight to the point. Avoid jargon unless it’s relevant to the role, and ensure your insights are presented in a way that’s actionable for decision makers.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Xpertise
✨Know Your Data Inside Out
Before the interview, dive deep into the types of enterprise customer data you’ll be working with. Familiarise yourself with predictive modelling techniques and churn analysis. Being able to discuss specific examples of how you've turned complex data into actionable insights will impress your interviewers.
✨Showcase Your Analytical Tools Proficiency
Make sure you’re up to speed with analytics tools like Excel and PowerBI. Prepare to discuss how you’ve used these tools in past roles to deliver forecasting and reporting. If you can share a specific project where your analytical skills made a significant impact, even better!
✨Prepare for Cross-Functional Collaboration Questions
Since this role involves influencing cross-functional teams, think of examples where you successfully collaborated with different departments. Be ready to explain how you communicated insights to non-technical stakeholders and how that influenced their decision-making.
✨Practice Presenting Your Findings
You’ll need to present findings to senior stakeholders, so practice articulating your insights clearly and concisely. Use storytelling techniques to make your data relatable and impactful. The clearer you are in presenting your recommendations, the more likely you are to leave a lasting impression.
