At a Glance
- Tasks: Teach and design innovative Data Apprenticeship programmes to empower learners in data skills.
- Company: Join QA, the largest tech training company in the UK, shaping the future of data education.
- Benefits: Enjoy competitive salary, professional development, and 3 days of free training on any course.
- Why this job: Make a real impact by helping individuals and organisations unlock the power of data.
- Qualifications: Experience with data tools like PowerBi, SQL, and a passion for teaching and learning.
- Other info: Dynamic environment with opportunities for growth and collaboration with industry experts.
The predicted salary is between 800 - 1400 ÂŁ per month.
Teaching Data Apprenticeship programmes at Level 3 & 4 as part of our programme delivery, aimed at empowering individuals and organisations to unlock the power of data. You’ll design and deliver cutting‑edge training programs in database design and visualisations using industry standard software. Finally, you’ll get the opportunity to collaborate with subject matter experts to develop and refine learning content that empowers learners to excel in the evolving data landscape.
Role Responsibilities
- Craft and deliver immersive and cutting‑edge experiences across the Data Science curriculum, captivating learners from diverse backgrounds and organisations.
- Collaborate and innovate with subject matter experts to develop dynamic and engaging courses and other high‑impact learning assets that drive growth.
- Provide in‑depth expert knowledge in your specialist area, offering insights cross‑functionally when required.
- Champion quality and innovation by upholding the highest standards of excellence and drive innovation as a key ambassador for our renowned training programs.
- Fuel your growth by taking ownership of your professional development, ensuring your expertise remains relevant and cutting‑edge in the ever evolving field of data science – 3 days of free training on any of our courses available.
Your Experience/Skills
- Experience in using data tools such as: PowerBi, Tableau, Data Storytelling, SQL.
- Proficient in the use of programming languages: Python, SQL.
- Experience in using and good knowledge of: Data manipulation & visualisations, Data modelling, Data architecture and cloud, Data analytics and statistics.
- Desirable knowledge of apprenticeships and work‑based learning.
- Desirable knowledge of the Ofsted Common Inspection Framework.
- Desirable industry experience with teaching/ coaching experience.
- Passion for lifelong learning and development as a profession.
About QA
At QA, we believe the future belongs to organisations that are able to learn, master and apply new skills at pace and scale. As the largest tech training company in the UK and the fastest‑growing in the US, we partner with 96% of the FTSE and most of the Fortune 500. We have served over 4,000 customers and 1+ million learners since 1985. We believe skills alone aren’t enough, but need to be applied back to the business in order to effect change. We do this through tailored learning programmes that connect learning across an organisation’s siloes, create continuity for learners, and feature collaborative, cohort‑based modalities to apply skills at pace and at scale. Our unique end‑to‑end learning solution draws from deep expertise across apprenticeships and instructor‑led training, and self‑paced learning. QA is headquartered in London and New York.
Safeguarding Statement
QA is committed to safeguarding and promoting the welfare of children, young people and adults with care and support needs. We hold the expectation that all staff share this commitment in creating a safe and inclusive environment and as an organization, we comply with relevant legislation and best practices in safeguarding and safe recruitment.
This Post Is Exempt From The Rehabilitation Of Offenders Act 1974 And a Comprehensive Screening Process Will Be Undertaken On Successful Applicants Including an enhanced disclosure check Child Barring list check medical fitness identity and right to work. All applicants will be required to provide two references covering the previous three years and a Criminal Declaration form must be completed and returned ahead of interview.
If this is what you’re looking for, here are the next steps: Hit the apply button and register on our QA website to fill out our quick and easy application form - we’ll be in touch with the next steps if successful.
Senior Data Apprenticeship Tutor in Newcastle upon Tyne employer: QA Ltd
Contact Detail:
QA Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Apprenticeship Tutor in Newcastle upon Tyne
✨Tip Number 1
Network like a pro! Reach out to your connections in the data field and let them know you're on the hunt for a Senior Data Apprenticeship Tutor role. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your experience with data tools like PowerBi and Tableau. When you get the chance to chat with potential employers, having tangible examples of your work can really set you apart from the crowd.
✨Tip Number 3
Practice makes perfect! Before any interviews, do some mock sessions with friends or mentors. Focus on articulating your teaching philosophy and how you can empower learners in the evolving data landscape. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s super easy and ensures your application gets to the right people. Plus, we love seeing candidates who take that extra step to engage with us directly.
We think you need these skills to ace Senior Data Apprenticeship Tutor in Newcastle upon Tyne
Some tips for your application 🫡
Show Your Passion for Data: When you're writing your application, let your enthusiasm for data science shine through! We want to see how you can inspire others and share your love for the subject. Mention any projects or experiences that highlight your passion.
Tailor Your Application: Make sure to customise your application to fit the Senior Data Apprenticeship Tutor role. Highlight your experience with tools like PowerBi and SQL, and don’t forget to mention any teaching or coaching experience you have. We love seeing how your skills align with our needs!
Be Clear and Concise: Keep your application straightforward and to the point. Use clear language and avoid jargon unless it’s relevant. We appreciate a well-structured application that makes it easy for us to see your qualifications and experience.
Apply Through Our Website: Don’t forget to hit that apply button on our QA website! It’s the easiest way for us to receive your application and get in touch with you about the next steps. We’re excited to hear from you!
How to prepare for a job interview at QA Ltd
✨Know Your Data Tools
Make sure you brush up on your knowledge of data tools like PowerBi, Tableau, and SQL. Be ready to discuss how you've used these tools in past projects or teaching experiences. This will show that you're not just familiar with the software but can also apply it effectively in a learning environment.
✨Showcase Your Teaching Style
Prepare to share examples of how you've delivered engaging training sessions in the past. Think about specific techniques you’ve used to captivate learners from diverse backgrounds. This will help demonstrate your ability to craft immersive experiences that align with the role's responsibilities.
✨Collaborate and Innovate
Since collaboration with subject matter experts is key, think of instances where you've worked with others to develop course content or training materials. Highlight your innovative ideas and how they contributed to successful outcomes. This will show that you’re a team player who values input from others.
✨Passion for Lifelong Learning
Express your commitment to professional development and staying current in the evolving field of data science. Mention any recent courses or training you've undertaken, especially those relevant to the role. This will reflect your enthusiasm for the industry and your dedication to empowering learners.