Data Analytics Capability Coach, Level 4

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Corndel

WebsiteLinkedInAll Job Openings

501 - 1000 employees

💼 Consulting

🏥 Healthcare

📣 Marketing

Consulting • Healthcare • Marketing

Corndel is an enterprise learning provider that partners with large organisations to deliver tailored AI, data and leadership training, degree apprenticeships and coaching. It combines industry partnerships (Imperial College London, Microsoft, CMI) with personalized coaching and accredited programmes to drive measurable workforce transformation, AI adoption and leadership development across businesses.

📋 Description

• Coach, mentor, and teach learners on Corndel’s Level 4 Data Analyst programme. • 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. • 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. • Guide learners through programme milestones, assessments, and portfolio development, ensuring consistent progress and timely completion. • Work collaboratively with colleagues across Operations, Product, and Curriculum to deliver a consistent and high-quality learner experience.

🎯 Requirements

• Practical experience working in a data analytics role or similar analytical context. • Strong working knowledge of Excel, including formulas, pivot tables, data validation, and analysis techniques. • Experience using Power BI or similar tools to analyse data and create clear, intuitive visualisations. • Working knowledge of SQL for querying and manipulating data. • Familiarity with predictive or statistical modelling concepts. • Experience coaching, mentoring, teaching, or facilitating learning in a professional environment. • Strong communication skills, with the ability to explain analytical concepts clearly to learners with varied confidence levels. • Experience using Python and Jupyter Notebooks for data analysis.

🏖️ Benefits

• flexible working hours • professional development opportunities • inclusive workplace culture • supporting disabled applicants • safeguarding and safer recruitment practices