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- Tasks: Lead data literacy strategy and enable self-service dashboard access across the business.
- Company: Join a leading tech firm with a focus on innovation and analytics.
- Benefits: Excellent salary, bonus package, and flexible work-from-home options.
- Other info: Exciting career growth opportunities in a collaborative team.
- Why this job: Make an impact by combining data analytics with business intelligence in a dynamic environment.
- Qualifications: Strong SQL, Python, data modelling, and visualisation skills required.
The predicted salary is between 60000 - 80000 £ per year.
My client are looking for a talented and motivated Customer AI Analytics Manager to help execute the data literacy strategy across the business by enabling self-service dashboard access on curated data, and act as the Forward Deployment Expert for the organisation. The team combines data analytics & business reporting with financial planning and profitability. They have a wide range of responsibilities which includes company-wide business intelligence, pricing, forecasting, commercial finance, reporting, dashboard development and risk management for various business units.
- Microsoft Fabric AI
- Strong SQL and Python experience
- Strong Data modelling skills
- Data visualisation (Tableau or Power BI)
Excellent + bonus + package
Location: London (good work from home options available)
If you are interested in this Customer AI Analytics Manager position and meet the above requirements please apply immediately.
Customer AI Analytics Manager - Leading Tech firm employer: Hunter Bond
Contact Detail:
Hunter Bond Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Customer AI Analytics Manager - Leading Tech firm
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those who work at the company you're eyeing. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! If you've got experience with SQL, Python, or data visualisation tools like Tableau or Power BI, make sure to highlight that in conversations. We want to see how you can bring value to the team!
✨Tip Number 3
Prepare for the interview by brushing up on your knowledge of data literacy strategies and self-service dashboard access. We love candidates who can discuss how they would implement these concepts in real-world scenarios.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the team!
We think you need these skills to ace Customer AI Analytics Manager - Leading Tech firm
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data analytics, SQL, and Python. We want to see how your skills align with the role of Customer AI Analytics Manager, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data literacy and how you can contribute to our team. We love seeing enthusiasm and a clear understanding of the role.
Showcase Your Data Visualisation Skills: Since this role involves dashboard development, include examples of your work with Tableau or Power BI. If you have links to dashboards you've created, share them! We want to see your creativity in action.
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 position. Plus, it’s super easy!
How to prepare for a job interview at Hunter Bond
✨Know Your Data Tools
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss how you've used these tools in past projects, especially in data modelling and visualisation with Tableau or Power BI.
✨Understand the Business Context
Familiarise yourself with the company's data literacy strategy and how it impacts their business intelligence and financial planning. Showing that you understand the bigger picture will impress your interviewers.
✨Prepare for Scenario Questions
Expect questions that ask you to solve real-world problems using data analytics. Think of examples where you've successfully forecasted or managed risk in previous roles, and be ready to explain your thought process.
✨Showcase Your Communication Skills
As a Customer AI Analytics Manager, you'll need to communicate complex data insights clearly. Practice explaining technical concepts in simple terms, as this will demonstrate your ability to enable self-service dashboard access for others.