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Coach - Data Analyst Level 4 Reports to : Delivery Director Location : Remote [UK], with national travel as required About Corndel Corndel is a unique, multi award-winning UK management and technology training provider that focuses on delivering the highest quality programmes throughout an employee’s career. We partner with some of the UK’s largest and most exciting businesses to help drive organisational and personal performance through transformational learning. Our vision is to shape a world where everyone is empowered to be their professional best. We are one of the fastest growing companies in the UK and provide a great platform for proactive and motivated individuals to take the next exciting step in their career. You will be joining an organisation with a fun, entrepreneurial and supportive environment, providing fulfilling work and an open, informal culture.   Purpose of the Role The DA4 Coach (Data Analyst) exists to help learners develop the technical capability, judgement, and confidence to turn data into insight and action. In this role, you will coach, mentor, and teach learners on Corndel’s Level 4 Data Analyst programme, supporting them to move beyond descriptive reporting to deeper analysis, interpretation, and decision making. You will help learners understand not just how to analyse data, but why it matters , how to communicate insight responsibly, and how to apply sound professional judgement in real organisational contexts. You will combine strong analytical expertise with a coaching mindset — empowering learners to take ownership of their development and apply data ethically and effectively in their roles. Core Responsibilities Learner Coaching & Development Manage a caseload of learners, building trusted relationships through high quality coaching, mentoring, and structured teaching. Deliver engaging one to one sessions and workshops that make analytical concepts accessible, relevant, and practical. Empower learners to think critically about data, challenge assumptions, and reflect on the implications of their analysis. Create an inclusive, psychologically safe learning environment where learners feel confident asking questions, testing ideas, and learning from mistakes. Data Analysis & Insight Support learners to develop core analytical skills, including data preparation, querying, analysis, modelling, and visualisation. Coach learners to use tools such as Excel, Power BI, SQL, Python, and related platforms to generate meaningful insights. Help learners interpret and communicate analysis clearly, linking insight to business questions and decisions. Model integrity and professional judgement in how data is analysed, interpreted, and presented, including awareness of data quality, bias, and ethical considerations. Progress, Quality & Outcomes Guide learners through programme milestones, assessments, and portfolio development, ensuring consistent progress and timely completion. Support learners to produce high quality, compliant evidence that genuinely reflects their analytical capability and workplace impact. Engage constructively with learners’ line managers to align learning with organisational priorities and projects. Take ownership for quality and compliance, balancing learner support with high standards and clear expectations. Collaboration & Continuous Improvement Work collaboratively with colleagues across Operations, Product, and Curriculum to deliver a consistent and high-quality learner experience. Proactively identify opportunities to improve delivery approaches, learner engagement, and outcomes. Stay curious and committed to continuous development, keeping up to date with analytical tools, techniques, and best practice. Technical Skills & Experience Essential Practical experience working in a data analytics role or similar analytical context. Strong working knowledge of