At a Glance
- Tasks: Design and deliver engaging technical training in Data and Analytics technologies.
- Company: Specialist organisation focused on developing data and analytics capabilities.
- Benefits: Up to £75,000 salary, remote work, and career progression opportunities.
- Other info: Dynamic role with exposure to cutting-edge AI technologies.
- Why this job: Shape modern learning programmes and make a direct impact on others' careers.
- Qualifications: Hands-on experience with SQL, Python, Power BI, and teaching skills.
The predicted salary is between 75000 - 75000 £ per year.
London (Primarily Remote, with monthly travel to London)
If you enjoy helping others develop technical data skills while shaping modern Data, Analytics, and AI learning programmes, this is an opportunity to have a direct impact.
This role combines technical training delivery, curriculum design, stakeholder engagement, and consulting exposure, offering a varied and rewarding career path within a growing data-focused environment.
The Company
They are a specialist organisation focused on developing data and analytics capability for both internal consultant communities and external client teams.
Through structured training programmes, they help individuals build practical technical skills that can be applied in real business environments.
Their work spans Data, Analytics, Business Intelligence, and AI, with a strong emphasis on hands-on learning and measurable outcomes.
They are committed to continuous learning, professional development, and delivering high-quality training experiences.
The Role
You will play a key role in designing and delivering technical training programmes across a range of Data and Analytics technologies.
Responsibilities include
- Delivering engaging technical training across areas such as SQL, Python, Power BI, Tableau, Excel, Data Modelling, Cloud technologies, and AI.
- Designing and maintaining learning content, practical exercises, projects, and assessments.
- Delivering structured training programmes to early-career data professionals.
- Partnering with external stakeholders to understand learning objectives and create tailored training solutions.
- Adapting training content and delivery methods to suit different levels of technical knowledge and business requirements.
- Providing coaching, mentoring, and constructive feedback to learners.
- Supporting the ongoing development and enhancement of technical curricula.
- Managing training projects from planning through to delivery.
- Collaborating with training, consulting, and commercial teams to ensure successful programme outcomes.
- Creating practical learning experiences based on real-world business scenarios.
- Your Skills & Experience
- Strong hands‑on experience across several Data & Analytics tools, including SQL, Python, Power BI, Tableau, and Excel.
- Experience delivering technical training, coaching, mentoring, teaching, or facilitating workshops.
- Ability to design engaging technical learning content and structured training programmes.
- Excellent communication and presentation skills.
- Confidence explaining technical concepts to audiences with varying levels of experience.
- Strong stakeholder management and client-facing skills.
- Ability to work independently, manage priorities, and take ownership of projects.
- Commercial experience in Data Analytics, Business Intelligence, Data Science, Data Engineering, or a related discipline.
- Exposure to consulting, professional services, or corporate training environments would be advantageous.
- Knowledge of AI and Generative AI technologies would be beneficial.
- What They Offer
- Opportunity to influence and shape technical learning programmes.
- Exposure to a broad range of Data, Analytics, and AI technologies.
- Career progression within a growing and evolving data-focused business.
- Varied work across training delivery, curriculum development, and stakeholder engagement.
- #J-18808-Ljbffr
Data Coach in London 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 in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Harnham!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Coach at Harnham.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Harnham.
✨Apply Directly through Our Website
When you find a suitable opening like Data Coach at Harnham, 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 Coach in London
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.
