Coach – Data Analyst Level 4

This is a fully remote position, open to applicants in United Kingdom.

📋 Description

• Oversee a portfolio of learners, establishing trusted connections through exceptional coaching, mentoring, and structured instruction.

• Conduct engaging individual sessions and workshops that render analytical concepts accessible, relevant, and practical.

• Encourage learners to critically analyze data, question assumptions, and consider the implications of their analyses.

• Foster an inclusive and psychologically safe learning atmosphere where learners feel empowered to ask questions, explore ideas, and learn from errors.

• Assist learners in developing essential analytical skills, such as data preparation, querying, analysis, modeling, and visualization.

• Mentor learners in utilizing tools like Excel, Power BI, SQL, Python, and other related platforms to derive meaningful insights.

• Aid learners in interpreting and effectively communicating their analyses, connecting insights to business inquiries and decisions.

• Exemplify integrity and professional judgment in data analysis, interpretation, and presentation, ensuring awareness of data quality, bias, and ethical considerations.

• Guide learners through program milestones, assessments, and portfolio development, ensuring steady progress and timely completion.

• Assist learners in producing high-quality, compliant evidence that accurately reflects their analytical skills and impact in the workplace.

• Collaborate constructively with learners’ line managers to align learning with organizational objectives and projects.

• Take responsibility for maintaining quality and compliance, balancing learner support with high standards and clear expectations.

• Collaborate with colleagues in Operations, Product, and Curriculum to deliver a cohesive and high-quality learner experience.

• Actively seek out opportunities to enhance delivery methods, learner engagement, and outcomes.

• Maintain curiosity and dedication to ongoing development, staying informed about analytical tools, techniques, and best practices.

⛳️ Requirements

• Hands-on experience in a data analytics role or a similar analytical environment.

• Proficient understanding of Excel, including formulas, pivot tables, data validation, and analytical techniques.

• Experience with Power BI or comparable tools for data analysis and creating clear, intuitive visualizations.

• Competence in SQL for data querying and manipulation.

• Familiarity with predictive or statistical modeling concepts.

• Background in coaching, mentoring, teaching, or facilitating learning within a professional setting.

• Excellent communication skills, capable of clearly explaining analytical concepts to learners with varying levels of confidence.

• Experience using Python and Jupyter Notebooks for data analysis.

• Knowledge of tools such as Power Query.

🏝️ Benefits

• Health insurance

• 401(k) matching

• Flexible work hours

• Paid time off

• Remote work options

• Professional development opportunities