At a Glance
- Tasks: Lead metrics definition and create dashboards to drive data-driven decisions.
- Company: A leading AI recruitment firm in Greater London with a collaborative culture.
- Benefits: Attractive compensation package and a supportive work environment.
- Why this job: Join a dynamic team and leverage AI tools to make impactful decisions.
- Qualifications: 3-5 years of metrics experience in a SaaS environment and fluency with data visualisation tools.
- Other info: Opportunity to partner across teams and build self-serve analytics.
The predicted salary is between 43200 - 72000 Β£ 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 in London employer: Metaview
Contact Detail:
Metaview Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Lead, Business Analytics & AI-Driven Growth in London
β¨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 that a CV just can't.
β¨Tip Number 2
Show off your skills! Create a portfolio showcasing your metrics work and dashboard creations. Use platforms like Looker and Tableau to demonstrate your expertise β itβs a great way to stand out!
β¨Tip Number 3
Prepare for interviews by brushing up on common questions related to data-driven decision-making. We recommend practising with a friend or using mock interview tools to boost your confidence.
β¨Tip Number 4
Donβt forget to apply through our website! Itβs 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 Lead, Business Analytics & AI-Driven Growth in London
Some tips for your application π«‘
Tailor Your CV: Make sure your CV highlights your experience in metrics definition and dashboard creation. We want to see how your background aligns with the role, especially your time in a SaaS environment.
Showcase Your Skills: Donβt forget to mention your fluency with AI tools and data visualisation platforms like Looker and Tableau. Weβre looking for someone who can hit the ground running, so let us know what youβve got!
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so make sure your points are easy to understand and directly related to the job description.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you donβt miss out on any important updates!
How to prepare for a job interview at Metaview
β¨Know Your Metrics
Make sure you brush up on your metrics experience before the interview. Be ready to discuss specific examples of how you've defined metrics and created dashboards in a SaaS environment. This will show that you understand the role and can hit the ground running.
β¨Showcase Your AI Fluency
Since the role requires fluency with AI tools, prepare to talk about your experience with these technologies. Bring examples of how you've used AI to drive business decisions or improve analytics processes. This will demonstrate your capability to leverage AI for growth.
β¨Visualisation Skills Matter
Familiarise yourself with data visualisation tools like Looker and Tableau. Be prepared to discuss how you've used these tools to create impactful dashboards. If possible, bring a portfolio of your work to showcase your skills in action.
β¨Collaboration is Key
This role involves partnering across teams, so be ready to share examples of how you've successfully collaborated in the past. Highlight your communication skills and how you've driven data-driven decisions through teamwork. This will show that you're not just a numbers person, but also a team player.