At a Glance
- Tasks: Coach professionals in data analytics using real-world data and deliver engaging workshops.
- Company: Leading Data and AI training company in the UK with a mission-driven team.
- Benefits: Hybrid working model, competitive salary, and opportunities for personal growth.
- Why this job: Make a real impact by helping others build industry-relevant data skills.
- Qualifications: Strong SQL and Excel skills, plus a background in data analysis.
- Other info: Join a dynamic team focused on applied learning and professional development.
The predicted salary is between 30000 - 48000 £ per year.
A leading Data and AI training company in the UK seeks a Data Analyst to coach working professionals in analytics. This role focuses on using real data in applied learning to build industry-relevant skills.
Responsibilities include:
- Delivering workshops
- Guiding projects
- Providing personalized coaching
Ideal candidates have strong SQL and Excel skills, along with a background in data analysis. This is a unique opportunity to join a mission-driven team with a hybrid working model and a focus on impact.
Data Analytics Coach for Real-World Data Skills in London employer: IO Sphere
Contact Detail:
IO Sphere Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analytics Coach for Real-World Data Skills in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the data analytics field on LinkedIn or at industry events. We can’t stress enough how personal connections can open doors for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those using SQL and Excel. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common data-related questions and scenarios. We recommend doing mock interviews with friends or mentors to build your confidence and refine your answers.
✨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 Data Analytics Coach for Real-World Data Skills in London
Some tips for your application 🫡
Show Your Passion for Data: When writing your application, let your enthusiasm for data analytics shine through! Share specific examples of how you've used SQL and Excel in real-world scenarios. We want to see your love for data and how you can inspire others.
Tailor Your Application: Make sure to customise your CV and cover letter for this role. Highlight your coaching experience and any workshops you've delivered. We’re looking for someone who can connect with professionals, so show us how you’ve done that before!
Be Clear and Concise: Keep your application straightforward and to the point. Use bullet points where possible to make it easy for us to read. We appreciate clarity, especially when it comes to your skills and experiences related to data analysis.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity. We can’t wait to see what you bring to the table!
How to prepare for a job interview at IO Sphere
✨Know Your Data Tools
Make sure you brush up on your SQL and Excel skills before the interview. Be ready to discuss how you've used these tools in real-world scenarios, as this will show your practical experience and understanding of data analytics.
✨Showcase Your Coaching Experience
Since the role involves coaching professionals, think of examples where you've guided others in their learning. Prepare to share specific instances where your coaching made a difference, highlighting your ability to communicate complex concepts clearly.
✨Prepare for Scenario-Based Questions
Expect questions that ask how you would handle real-world data challenges. Practice articulating your thought process and problem-solving strategies, as this will demonstrate your analytical skills and ability to apply knowledge effectively.
✨Emphasise Your Impact-Driven Mindset
This role is all about making an impact, so be prepared to discuss how your work has positively influenced others or contributed to projects. Share stories that reflect your passion for helping others develop their data skills and your commitment to the mission.