Coach - Data Analyst Level 4

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 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

Desirable

· Digital engagement tools including Miro, Whiteboard

· Google Suite Google Sheets, Docs, Slides, Looker and BIGQUERY

• Alteryx user

• Experience supporting learners in apprenticeship or vocational learning contexts.

• Teaching or coaching qualifications, or experience delivering structured learning.

What Success in This Role Looks Like

In this role, success means that you:

• Consistently support learners to complete their programme and End Point Assessment successfully and on time.

• Are trusted by learners as a knowledgeable, supportive, and approachable expert.

• Enable learners to apply analytical techniques confidently to inform decisions and create business impact.

• Maintain high standards of quality, professionalism, and learner care.

• Contribute positively to a collaborative, inclusive, and high performing team culture.

What Brilliant Looks Like

At its best, this role creates impact beyond individual learners:

• Learners describe your support as pivotal in developing their confidence and analytical judgement.

• You help learners move from reporting data to influencing decisions and action.

• You challenge learners constructively, improving the quality of their thinking rather than just their outputs.

• You spot patterns across cohorts and proactively improve learner experience and outcomes.

• Your influence supports organisations to use data more responsibly, insightfully, and effectively.

Who This Role Is For

This role is ideal for a data analyst or analytics professional who:

• Enjoys helping others develop analytical confidence and capability.

• Believes strong data practice combines technical skill with judgement and integrity.

• Values inclusion, empowerment, and impact alongside analytical expertise.

• Wants to shape how individuals and organisations use data to make better decisions.

Why join Corndel?

• We're committed to having a fully inclusive, welcoming and safe culture and always striving to improve.

• We provide an environment that is truly flexible and supportive, somewhere you will have autonomy over your role.

• We're a leader in our field, with quality and excellence at the heart of what we do.

As part of our commitment to create an inclusive workplace where all colleagues can be their true selves, excel in their roles and progress in their careers, we recognise the importance of embracing the diversity in the working population and making Corndel a fully accessible employer. 

 As Corndel is a Disability Confident Employer, we make sure that a fair and proportionate number of disabled applicants who meet the minimum criteria for a job will be offered an interview. If you would like to be considered under this scheme, when submitting your application, please select the appropriate option to let us know that you have a disability. Please note this does not mean that all disabled people are entitled to an interview, in some recruitment situations such as peak times, we might need to limit the overall numbers of interviews we offer. 

  If you have a disability that might affect any stage of the recruitment process, please let us know about any help or reasonable adjustments you need before any interview or assessment. We’ll work with you to make sure any appropriate support is in place and make the application process a more positive experience.  

  Corndel is committed to safeguarding and safer recruitment practices, and will undertake pre-employment checks on the successful candidate, including DBS Disclosure. 

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