Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Analyst Skills Coach/Assessor

Pertemps Network Group
Sheffield
10 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Analyst Business Partner

Commercial and Operations Data Analyst

Commercial and Operations Data Analyst

Data Scientist

Data Science Engineering Manager - Audit

Data Scientist - Supply

Data Analyst Skills Coach- Work from Home


We have an exciting opportunity to join a thriving Training Provider!

The company is a Multi-Award Winning Apprenticeship Training Provider and continues to grow from strength to strength. As a result of this growth, they are looking to recruit a Data Analyst Skills Coach. This is a great time to join this organisation as they can offer a genuine career path alongside a friendly and professional working environment.

This Training Provider has a strong culture and generosity towards its social values and giving back.

This training provider has an added focus on the learner journey and the quality of the delivery and assessment.

The Skills Coach will be supporting learners who are working towards Level 3 and 4 apprenticeships in Data Analyst.


As a qualified and experienced Data Analyst Skills Coach/Assessor, you can expect:

• Highly competitive salary between £40000-£45000

• 23 days holiday+ bank holidays and two days per year for volunteering

• Fully remote delivery and coaching to learners

• Excellent Career Opportunities


Typical duties of the Apprenticeship Skills Coach will include:


• To coach, mentor, and guide learners who are engaged in Data Analyst apprenticeship programs

• Deliver inspiring training and coaching sessions to groups and individual learners.

• Actively support, mentor, and motivate learners across the learner journey to help them with the timely completion of their learning aims and qualification.

• Support and coach the learners with Functional Skills in Maths and English

• Set individual targets for each learner based on the capability to ensure KPIs are met

• Manage your diary so that agreed contact with learners is achieved.

• Identify and assess learners' needs and put in place robust learning plans, with realistic and challenging goals, that enable learners to understand their personal journey and realise their potential.

• Observe, mark, and review work produced by learners to ensure it is of the appropriate standard to reflect the learner's qualification and meet the needs of the qualification.

• Provide insightful, constructive, and informative feedback to help the learner maximize their potential

• Ensuring all IT systems are up to date and meet funding compliance

• Coaching and guiding the learners to the End Point Assessment.


Skills and Experience Required for the Data Analyst Skills Coach


• Be Assessor Qualified e.g., TAQA, CAVA, A1.

• Recognised Teaching Qualification would be desirable- PTLLS, Award in Education and Training, or be prepared to work towards

• Be passionate about teaching, learning and assessment

• Knowledge and experience in delivering Data Analyst Standards at levels 3 and 4 is essential

• Previous experience working in a Data role, such as Data Analyst is essential

• Ideally, hold a qualification at Diploma or above in a Data Analyst subject

• Proven track record in achieving Targets and Quality Standards


For further information please contact Pertemps Newcastle on

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.