Data Analyst Trainer/Skills Coach- Work From Home

Manchester
5 months ago
Applications closed

Related Jobs

View all jobs

Junior Data Analyst - Online Media & Technology

Data Engineering Coach

Data Technician Trainer

AI & NLP Trainer

Assessor / Trainer - Data Technician and Business Analyst

Assessor / Trainer - Data Technician and Business Analyst

Job Opportunity: Data Analyst Skills Coach
Salary: Up to £60,000 (depending on experience)
Location: Fully Remote
Holiday: 25 days + bank holidays

Join a thriving, multi-award-winning apprenticeship training provider as they continue their rapid growth. This organisation is renowned for delivering high-quality learning experiences and supporting learners on their journey to success. With a strong focus on career progression, a supportive environment, and a commitment to excellence, this is a fantastic opportunity to make an impact.
About the Role

You will be coaching and mentoring learners working towards:
• Level 4 Data Analyst
• Level 5 Data Engineering
• Level 4 Business Analyst

Your primary focus will be on delivering inspiring, high-quality training and coaching to help learners achieve their qualifications and meet apprenticeship standards.

Key Responsibilities
• Deliver Coaching & Training: Provide engaging group and one-on-one sessions tailored to learner needs.
• Mentor Learners: Motivate and support learners to achieve their learning objectives and complete qualifications.
• Functional Skills Support: Assist learners in developing Maths and English skills as needed.
• Target Setting: Establish realistic and challenging goals aligned with learner progress.
• Assessment: Observe, mark, and review learner work to ensure it meets required standards.
• Feedback: Offer constructive, actionable feedback to help learners reach their potential.
• Compliance: Ensure IT systems and documentation adhere to funding and quality requirements.
• End-Point Assessment: Guide learners to successfully complete their EPA.

Essential Skills and Experience
To be considered for this role, you must have:
• Professional Experience:
o Demonstrable experience in a data role, such as Data Analyst or similar.
o Strong knowledge of Level 4 Data Analyst and Level 5 Data Engineering Standards.
o Proven track record in delivering Data Apprenticeship Programmes up to Level 5.
• Technical Skills:
o Advanced proficiency in SQL for querying and managing relational databases.
o Experience with AWS services (e.g., Redshift, Glue, Lambda) and Python programming.
o Knowledge of ETL processes and tools like Informatica, Talend, or Apache Airflow.
o Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and data storage solutions.
o Strong understanding of data structures, security, and management practices.

• Coaching and Assessment:
o Ideally hold an Assessor Qualification (e.g., TAQA, CAVA, A1) or be willing to achieve one.
o Teaching qualification (e.g., PTLLS or Award in Education and Training) desirable or willingness to work towards one.
o Passion for teaching and mentoring learners to achieve their goals.
o Experience in coaching and training Apprenticeship learners to level 5 in Data Training Programmes

If you meet the essential criteria and are passionate about coaching, learning, and data, we’d love to hear from you!
For more information, contact Pertemps Newcastle at (phone number removed)

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Negotiating Your Machine Learning Job Offer: Equity, Bonuses & Perks Explained

How to Secure a Compensation Package That Matches Your Technical Mastery and Strategic Influence in the UK’s ML Landscape Machine learning (ML) has rapidly shifted from an emerging discipline to a mission-critical function in modern enterprises. From optimising e-commerce recommendations to powering autonomous vehicles and driving innovation in healthcare, ML experts hold the keys to transformative outcomes. As a mid‑senior professional in this field, you’re not only crafting sophisticated algorithms; you’re often guiding strategic decisions about data pipelines, model deployment, and product direction. With such a powerful impact on business results, companies across the UK are going beyond standard salary structures to attract top ML talent. Negotiating a compensation package that truly reflects your value means looking beyond the numbers on your monthly payslip. In addition to a competitive base salary, you could be securing equity, performance-based bonuses, and perks that support your ongoing research, development, and growth. However, many mid‑senior ML professionals leave these additional benefits on the table—either because they’re unsure how to negotiate them or they simply underestimate their long-term worth. This guide explores every critical aspect of negotiating a machine learning job offer. Whether you’re joining an AI-focused start-up or a major tech player expanding its ML capabilities, understanding equity structures, bonus schemes, and strategic perks will help you lock in a package that matches your technical expertise and strategic influence. Let’s dive in.

Machine Learning Jobs in the Public Sector: Opportunities Across GDS, NHS, MOD, and More

Machine learning (ML) has rapidly moved from academic research labs to the heart of industrial and governmental operations. Its ability to uncover patterns, predict outcomes, and automate complex tasks has revolutionised industries ranging from finance to retail. Now, the public sector—encompassing government departments, healthcare systems, and defence agencies—has become an increasingly fertile ground for machine learning jobs. Why? Because government bodies oversee vast datasets, manage critical services for millions of citizens, and must operate efficiently under tight resource constraints. From using ML algorithms to improve patient outcomes in the NHS, to enhancing cybersecurity within the Ministry of Defence (MOD), there’s a growing demand for skilled ML professionals in UK public sector roles. If you’re passionate about harnessing data-driven insights to solve large-scale problems and contribute to societal well-being, machine learning jobs in the public sector offer an unparalleled blend of challenge and impact. In this article, we’ll explore the key reasons behind the public sector’s investment in ML, highlight the leading organisations, outline common job roles, and provide practical guidance on securing a machine learning position that helps shape the future of government services.

Contract vs Permanent Machine Learning Jobs: Which Pays Better in 2025?

Machine learning (ML) has swiftly become one of the most transformative forces in the UK technology landscape. From conversational AI and autonomous vehicles to fraud detection and personalised recommendations, ML algorithms are reshaping how organisations operate and how consumers experience products and services. In response, job opportunities in machine learning—including roles in data science, MLOps, natural language processing (NLP), computer vision, and more—have risen dramatically. Yet, as the demand for ML expertise booms, professionals face a pivotal choice about how they want to work. Some choose day‑rate contracting, leveraging short-term projects for potentially higher immediate pay. Others embrace fixed-term contract (FTC) roles for mid-range stability, or permanent positions for comprehensive benefits and a well-defined career path. In this article, we will explore these different employment models, highlighting the pros and cons of each, offering sample take‑home pay scenarios, and providing insights into which path might pay better in 2025. Whether you’re a new graduate with a machine learning degree or an experienced practitioner pivoting into an ML-heavy role, understanding these options is key to making informed career decisions.