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- Tasks: Mentor apprentices in data analysis, guiding them to achieve their learning goals.
- Company: Join an award-winning training provider with over 20 years of experience in apprenticeships.
- Benefits: Enjoy remote work flexibility, 25 days holiday, and a competitive salary.
- Why this job: Make a real impact by empowering the next generation of data analysts.
- Qualifications: Strong data background, coaching experience, and relevant qualifications required.
- Other info: Hybrid working model with options for in-office collaboration in London or Manchester.
The predicted salary is between 30000 - 45000 £ per year.
Salary: £43,000 - £45,000
Location: Remote, with the option to work 1 day per week in Central London or Manchester (Hybrid: 4 days remote, 1 day in-office)
Holiday: 25 days + bank holidays
Are you an Experienced Data Analyst with a proven track record in coaching and supporting Apprenticeship learners? Join a nationally recognised, award-winning training provider with over 20 years of expertise in apprenticeships and training. Partnered with a leading national organisation, they support over 12,000 learners annually and are expanding their impact across the UK.
Key Responsibilities:
- Guide and mentor apprentices on the Level 3 and 4 Data Analysis Apprenticeship Programme, ensuring they achieve their learning objectives.
- Collaborate with employers and apprentices to plan and deliver tailored on-programme support and end-point assessments.
- Deliver coaching sessions both remotely and in-person, adapting to the individual needs of learners.
- Monitor progress through e-portfolio systems, providing actionable feedback and preparing learners for assessments.
- Embed essential skills such as Maths, English, and safeguarding topics within the training.
- Ensure curriculum content remains current, engaging, and aligned with industry standards.
Essential Skills, Qualifications, and Experience:
- Experience: A strong background in data-related roles, with hands-on experience in tools such as SQL, Python, or R.
- Coaching Expertise: Demonstrated success in supporting and coaching apprentices in data analysis or related fields.
- Qualifications:
- Relevant data-related qualifications (ideally at degree level).
- Coaching or teaching qualifications such as TAQA, CAVA, PTLLS, Award in Education and Training.
- Comprehensive understanding of apprenticeship standards, funding rules, and Ofsted requirements.
- Experience with e-portfolio systems and assessment frameworks.
Why Apply?
This role offers the opportunity to make a meaningful impact by empowering apprentices to excel in their data analysis careers. If you meet the essential criteria and are passionate about supporting learners, we want to hear from you.
Contact Pertemps Newcastle and ask for Simon Atkins at 0191 3000513 or 07894 752230 for further details or to apply directly. Take the next step in your career—apply today!
Data Analyst Skills Coach/Mentor- Apprenticeships Sector employer: Pertemps Network Group
Contact Detail:
Pertemps Network Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst Skills Coach/Mentor- Apprenticeships Sector
✨Tip Number 1
Familiarise yourself with the latest trends in data analysis and apprenticeship standards. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the education and data analysis sectors. Attend relevant webinars or local meetups to connect with others who may provide insights or referrals for the position.
✨Tip Number 3
Prepare to discuss your coaching experiences in detail. Think of specific examples where you've successfully guided apprentices, as this will demonstrate your ability to mentor effectively.
✨Tip Number 4
Research StudySmarter and our approach to apprenticeships. Understanding our values and mission will help you align your answers with what we’re looking for in a candidate during the interview process.
We think you need these skills to ace Data Analyst Skills Coach/Mentor- Apprenticeships Sector
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data analysis and coaching. Use specific examples that demonstrate your ability to mentor apprentices and your familiarity with tools like SQL, Python, or R.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for coaching and supporting learners. Mention your relevant qualifications and how they align with the role's requirements, particularly your understanding of apprenticeship standards.
Highlight Relevant Experience: In your application, emphasise any previous roles where you have successfully coached or mentored individuals, especially in data-related fields. Include metrics or outcomes that illustrate your impact.
Showcase Interpersonal Skills: Since exceptional communication is key for this role, provide examples in your application that demonstrate your interpersonal skills. This could include experiences where you effectively guided learners or collaborated with employers.
How to prepare for a job interview at Pertemps Network Group
✨Showcase Your Coaching Experience
Be prepared to discuss specific examples of how you've successfully coached apprentices in data analysis. Highlight your methods and the outcomes achieved, as this role heavily relies on mentoring skills.
✨Demonstrate Technical Proficiency
Familiarise yourself with the tools mentioned in the job description, such as SQL, Python, or R. Be ready to discuss your hands-on experience with these technologies and how you can apply them in a coaching context.
✨Understand Apprenticeship Standards
Research the current apprenticeship standards and funding rules relevant to the role. Showing that you are knowledgeable about Ofsted requirements will demonstrate your commitment to maintaining high educational standards.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities and interpersonal skills. Think of scenarios where you had to adapt your coaching style to meet the needs of different learners, and be ready to share those experiences.
