Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead metrics definition and create dashboards using AI tools.
- Company: Top AI recruitment firm in Greater London with a collaborative vibe.
- Benefits: Attractive compensation package and a supportive work environment.
- Why this job: Drive data-driven decisions and shape the future of analytics.
- Qualifications: 3-5 years in metrics within SaaS and proficiency in Looker or Tableau.
- Other info: Join a dynamic team focused on innovation and growth.
The predicted salary is between 36000 - 60000 £ per year.
A leading AI recruitment firm in Greater London is seeking a Business Analytics professional to lead metrics definition and dashboard creation. This role demands 3-5 years of metrics experience within a SaaS environment, as well as fluency with AI tools and data visualization tools like Looker and Tableau.
The ideal candidate will partner across teams to drive data-driven decisions and build self-serve analytics. Attractive compensation package and a collaborative work environment are offered.
Lead, Business Analytics & AI-Driven Growth employer: Metaview
Contact Detail:
Metaview Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead, Business Analytics & AI-Driven Growth
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working in AI and analytics. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your metrics work and dashboard creations. Use tools like Looker and Tableau to demonstrate your expertise – it’s a great way to stand out!
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to business analytics and AI tools. We recommend practising with a friend or even in front of the mirror to build confidence.
✨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 are proactive about their job search.
We think you need these skills to ace Lead, Business Analytics & AI-Driven Growth
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in metrics and SaaS environments. We want to see how your skills align with the role, so don’t be shy about showcasing your expertise with AI tools and data visualisation software like Looker and Tableau.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about business analytics and how you can contribute to our team. We love seeing candidates who can articulate their vision for driving data-driven decisions.
Showcase Your Projects: If you've worked on any relevant projects, make sure to mention them! We’re interested in real-world examples of how you’ve defined metrics or created dashboards. This helps us understand your hands-on experience and problem-solving skills.
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 the role. Plus, it gives you a chance to explore more about our company culture and values!
How to prepare for a job interview at Metaview
✨Know Your Metrics
Make sure you brush up on your metrics knowledge before the interview. Be ready to discuss specific metrics you've defined in previous roles, especially within a SaaS environment. This will show that you understand the importance of data in driving business decisions.
✨Showcase Your AI Fluency
Since the role requires fluency with AI tools, prepare examples of how you've used AI in your past work. Whether it's through predictive analytics or automating processes, demonstrating your experience will set you apart from other candidates.
✨Visualisation Skills Matter
Familiarise yourself with data visualisation tools like Looker and Tableau. Bring along examples of dashboards you've created or improved. Being able to talk through your design choices and how they impacted decision-making will impress the interviewers.
✨Collaboration is Key
This role involves partnering across teams, so be prepared to discuss how you've successfully collaborated in the past. Share specific instances where your insights led to data-driven decisions, highlighting your ability to communicate complex data to non-technical stakeholders.
