At a Glance
- Tasks: Design and deliver engaging training in data skills like SQL, Python, and Power BI.
- Company: Established data and analytics consultancy focused on training and development.
- Benefits: Remote work flexibility, competitive salary, and opportunities for professional growth.
- Other info: Join a dynamic team with a strong focus on emerging technologies.
- Why this job: Shape the future of data professionals while making a real impact on client success.
- Qualifications: 5+ years of experience in data coaching and curriculum development.
The predicted salary is between 63000 - 77000 £ per year.
Enjoy helping people build technical data skills? Want to own and shape a growing training function? Looking for a role that combines coaching, curriculum development and client impact?
An established data and analytics consultancy is looking for a Data Coach to design and deliver high-quality technical training programmes. The business develops early-career data professionals and also provides tailored training solutions to external clients. With growing demand for data, analytics and AI capability building, this role sits at the centre of both consultant development and client success. It's a highly visible position with significant ownership over training content, delivery and learning outcomes.
Role Summary
We're looking for a Data Coach to design, develop and deliver technical training across a range of data and analytics topics. You'll combine hands-on coaching, curriculum development and client engagement, helping both consultants and external stakeholders build practical technical capability. The team has 15 internal members, with a wider network of data & AI consultants embedded into client organisations.
Key Responsibilities
- Design and deliver engaging training across SQL, Python, Excel, Power BI and Tableau
- Create and maintain technical learning materials, workshops and assessments
- Coach consultants through structured development programmes
- Deliver bespoke client training programmes aligned to business requirements
- Manage training projects and stakeholder relationships from scoping through delivery
- Incorporate emerging topics including Cloud Technologies and AI
- Measure training effectiveness and continuously improve learning outcomes
5+ years of experience required.
Working Model: Primarily remote, with approximately 3-4 days per month in London.
Data Coach - Analytics Training Consultancy employer: Harnham
As a leading specialist data consultancy, we pride ourselves on fostering a collaborative and innovative work culture that empowers our Analytics Engineering Consultants to thrive. With a focus on professional development, we offer extensive growth opportunities and the chance to work on high-impact projects across diverse industries, all while enjoying the flexibility of remote work in the UK. Join us to be part of a team that values your expertise and encourages you to influence strategy and drive meaningful change for our clients.
StudySmarter Expert Advice🤫
We think this is how you could land Data Coach - Analytics Training Consultancy
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We think you need these skills to ace Data Coach - Analytics Training Consultancy
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Harnham, 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 Harnham. 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 Harnham
✨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 Harnham!
✨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.
