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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, and flexible work-from-home options.
- Other info: Opportunity for career growth in a collaborative team.
- Why this job: Make an impact by driving data-driven decisions in a dynamic environment.
- Qualifications: Strong analytical skills, experience with SQL, Python, and data visualisation tools.
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. You'll also work on the Analytical engineering, contributing to the Analytics delivery road map.
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.
The following skills/experience is required:
- Strong Analytical background
- Microsoft Fabric AI
- Strong SQL and Python experience
- Previously worked with large datasets
- Strong Data modelling skills
- Data visualisation (Tableau or Power BI)
- Degree in Maths, Economics, Statistics, Finance or any quantitative subject
Salary: 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 in London 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 in London
✨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 might even lead to a referral.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies that highlight your analytical prowess, especially with SQL, Python, and data visualisation tools like Tableau or Power BI. This will make you stand out during interviews.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on your data modelling and analytics concepts. Mock interviews can help you feel more confident when it’s your turn to shine.
✨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 Customer AI Analytics Manager - Leading Tech firm in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your analytical background and experience with SQL and Python. We want to see how your skills align with the role, so don’t be shy about showcasing your data modelling and visualisation expertise!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data analytics and how you can contribute to our team. We love seeing enthusiasm and a clear understanding of the role.
Showcase Relevant Projects: If you've worked on any projects involving large datasets or dashboard development, make sure to mention them. We’re keen to see real examples of your work that demonstrate your skills 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 role. Plus, it’s super easy!
How to prepare for a job interview at Hunter Bond
✨Know Your Data Inside Out
Make sure you’re well-versed in the data analytics tools mentioned in the job description, like SQL and Python. Brush up on your skills with large datasets and be ready to discuss how you've used them in past roles.
✨Showcase Your Analytical Mindset
Prepare examples that highlight your analytical background. Think of specific projects where you’ve contributed to business intelligence or financial planning, and be ready to explain your thought process and the impact of your work.
✨Visualisation is Key
Since data visualisation is a big part of the role, practice discussing your experience with tools like Tableau or Power BI. Bring along examples of dashboards you’ve created and be prepared to explain how they helped drive decisions.
✨Engage with the Company’s Vision
Research the company’s data literacy strategy and be ready to discuss how you can contribute to it. Show enthusiasm for their mission and think about how your skills can help them achieve their goals in analytics and reporting.