Data Literacy Capability Coach (DP3/DL3) in London

Data Literacy Capability Coach (DP3/DL3) in London

London Full-Time 54000 - 66000 £ / year (est.) Home office (partial)
Corndel

At a Glance

  • Tasks: Coach and mentor learners to confidently use data for impactful decision-making.
  • Company: Join Corndel, a fast-growing UK training provider with a fun and supportive culture.
  • Benefits: Flexible remote work, career growth opportunities, and a vibrant team environment.
  • Other info: Be part of a diverse team committed to inclusion and continuous improvement.
  • Why this job: Make a real difference by empowering others to harness the power of data.
  • Qualifications: Experience in data analysis and a passion for teaching and mentoring.

The predicted salary is between 54000 - 66000 £ per year.

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 mission is to inspire people to think bigger and shape the future, and our vision is to expand minds and create a world of unlimited potential. 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 DP3 Coach (Data Driven Professional & Leader) exists to help learners build confidence in using data to inform decisions, generate insight, and drive tangible business impact. In this role, you will coach, mentor, and teach learners on Corndel’s Level 3 data technician programmes, supporting them to move from data awareness to confident, practical application. You will help learners understand not just how to work with data, but why it matters, how to communicate insight clearly, and how to apply sound judgement when working with data in real organisational contexts. You will combine strong data capability with a coaching mindset — empowering learners to take ownership of their development, challenge assumptions, 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 data concepts accessible, relevant, and practical.
    • Empower learners to develop confidence with data by encouraging curiosity, critical thinking, and reflection.
    • Create an inclusive, psychologically safe learning environment where learners feel comfortable asking questions, testing ideas, and learning from mistakes.
  • Data Literacy & Insight
    • Support learners to develop core data skills, including data preparation, analysis, visualisation, and interpretation.
    • Coach learners to use tools such as Excel, Power BI, and related platforms to generate meaningful insights and communicate them clearly.
    • Help learners connect data analysis to real business questions, decision making, and outcomes.
    • Model integrity and good judgement in how data is used, interpreted, and communicated, 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 capability and workplace impact.
    • Engage constructively with learners’ line managers to align learning with organisational priorities and support progression.
    • 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 data tools, practices, and ways of working that enhance learning.

Technical Skills & Experience

Essential

  • Practical experience working with data in a professional context.
  • Strong working knowledge of Excel, including formulas, pivot tables, data validation, and analysis techniques.
  • Knowledge of Power Query and how it can be used for data cleansing, importing data and automation of repetitive tasks.
  • Experience using Power BI or similar tools to analyse data and create clear, intuitive visualisations.
  • Confidence using Microsoft tools such as Teams, Word, and PowerPoint to support communication and learning.
  • Experience coaching, mentoring, teaching, or facilitating learning in a professional environment.
  • Strong communication skills, with the ability to explain data concepts clearly to learners with varied confidence levels.

Desirable

  • Familiarity with efficiently using AI tools to support data-driven insights.
  • Experience with Power Pivot, Power Automate, other Microsoft Power Platform tools.
  • Familiarity with Google Suite (Google sheets, docs, slides and looker).
  • Familiarity with digital engagement tools including Miro, Whiteboard.
  • Teaching or coaching qualifications, or experience delivering structured learning.
  • Experience supporting learners in apprenticeship or vocational learning contexts.

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 data 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 building their confidence and capability with data.
  • You spot patterns across cohorts and proactively improve learner experience and outcomes.
  • You help learners move beyond reporting to insight, judgement, and influence.
  • You challenge learners constructively, helping them make better decisions rather than just better charts.
  • Your influence supports organisations to embed data driven thinking in a responsible, sustainable way.

Who This Role Is For

This role is ideal for a data practitioner, analyst, or educator who:

  • Enjoys helping others develop confidence and capability with data.
  • Believes good data use combines technical skill with judgement and integrity.
  • Values inclusion, empowerment, and impact alongside technical competence.
  • Wants to shape how individuals and organisations use data to make better decisions.

Why join Corndel?

  • Work flexibly and stay connected – most of our people work remotely, supported by regular Regional Connect Days and our annual all-company Cornfest.
  • See the impact of your work – every role at Corndel shapes how organisations grow, so you’ll see your contribution translate into stronger leaders and teams.
  • We're a leader in our field, with quality and excellence at the heart of what we do.
  • We're committed to having a fully inclusive, welcoming and safe culture and always striving to improve.

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.

For more information contact recruitment@corndel.com

Data Literacy Capability Coach (DP3/DL3) in London employer: Corndel

Corndel is an exceptional employer that champions a remote, flexible, and supportive working environment, allowing you to shape AI and ML capabilities across the UK. With a strong focus on inclusivity and professional growth, we empower our employees to excel in their roles while making a meaningful impact through education. Join us to be part of a values-driven culture that prioritises quality, ethics, and the responsible application of technology.

Corndel

Contact Details:

Corndel Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Literacy Capability Coach (DP3/DL3) in London

Get Involved in Data Science Meetups

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Apply Directly through Our Website

When you find a suitable opening like Data Literacy Capability Coach (DP3/DL3) at Corndel, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Data Literacy Capability Coach (DP3/DL3) in London

Data Coaching
Data Analysis
Data Visualisation
Excel
Power BI
Power Query
Communication Skills

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

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Craft a Tailored Cover Letter:For a full-time role at Corndel, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Corndel. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Corndel

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Corndel!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.