Coach – Data Analyst Level 4

Role Overview

• 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.
• 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.
• 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.
• 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.

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.
• Familiarity with tools such as Power Query.

Tech Stack

• Python
• SQL

Benefits

• Health insurance
• 401(k) matching
• Flexible work hours
• Paid time off
• Remote work options
• Professional development opportunities