Technical Trainer (Data Analytics)

Department: Delivery Location: Home-based, UK (with occasional travel to London office) Reports to: Training Delivery Team Lead Hours: 37.5 per week Salary: (Depending on experience) A quick note before you apply: We are only able to accept applications from candidates who are currently based in the UK and hold the legal right to work here. Role Overview Cambridge Spark is looking for a Data Analytics Trainer to deliver our gold-standard data and digital transformation programmes. You will have the exciting opportunity to deliver training across a diverse portfolio of multiple apprenticeship programmes and bespoke corporate training engagements. You’ll lead practical, hands-on workshops that empower professionals to confidently interpret data, generate predictive insights, and build robust analytical models. A proportion of your time will consist of influencing the content you will deliver. Working across funded apprenticeships and corporate clients, you’ll ensure that all programmes meet high standards for learner engagement, applied workplace impact, and real-world relevance. Key Responsibilities Deliver data-related curriculum as your primary focus, while also leading core data modules across our wider portfolio of apprenticeship pathways and executing specialised corporate training engagements tailored to client needs. Facilitate intensive technical sessions covering Python for data analysis, focusing heavily on libraries like Pandas and NumPy for practical data manipulation and wrangling. Deliver engaging, hands-on workshops enabling learners to apply forecasting techniques to temporal data and utilise supervised/unsupervised machine learning models (using Scikit-Learn) for business analytics. Teach learners how to query databases efficiently using SQL and visualise their analytical findings using Python-based libraries (e.g., Matplotlib, Seaborn, Plotly). Guide learners through data storytelling, identifying KPIs, stakeholder management, and translating complex predictive insights into actionable business strategy. Facilitate high-quality, interactive training sessions via virtual platforms (our primary model), while maintaining the pedagogical flexibility to travel to client sites or hubs for face-to-face workshops when requested. Partner with Product Managers to provide technical feedback on resources and utilise allocated time to refine learning activities, build practical Python/ML data scenarios, and keep materials updated with industry changes. Implement standardisation processes defined by the Quality Team and maintain technical expertise across the modern Python data stack and workplace analytics adoption patterns. Candidate Specification Essential Exceptional hands-on experience and a strong conceptual understanding of Python specifically applied to data analysis (Pandas, NumPy). Proven capability to build and teach foundational predictive models and machine learning workflows for data analysis (e.g., regressions, clustering, classification using Scikit-Learn). Practical working knowledge of forecasting and analysing temporal data sets to extract trends and seasonal insights. Strong capability in writing and teaching SQL, including joins, subqueries, and data extraction techniques. Proven capability to teach data storytelling and the translation of statistical or programmatic insights into accessible business strategy. Exceptional communication skills with the ability to act as a "translator" between complex programmatic concepts and non-technical operational business staff. Desirable Demonstrable, hands-on experience working in a commercial industry setting applying these specific technical concepts. A deeper academic or practical background in statistical testing, experimental design, or advanced probability. Understanding of core data engineering concepts, including practical experience teaching or building automated data pipelines, workflow orchestration (e.g., Airflow) and containerisation (Docker/Kubernetes). Familiarity with modern cloud data warehousing concepts (e.g., Snowflake, BigQuery) or cloud-based data pipelines. A formal teaching or training qualification (PGCE, QTS, or equivalent) or substantial enterprise facilitation experience. Interview Process Stage 1: 15 minute screening interview with the Talent Team Stage 2: 75 minute competency based interview with the hiring manager and SME (competency based questions, microteach and a short technical task) Stage 3: 45 minute cultural alignment interview based on Cambridge Sparks values and ways of working Company Benefits: Pension with 4% matched contributions, opportunity to opt into salary sacrifice scheme 25 days holiday + Flexi bank holidays + 1 day off on your birthday A day for volunteering Enhanced Maternity and Paternity Leave Health & Wellbeing allowance of up to £30 per month Annual Summer and Xmas events Company socials including everything from Cambridge College formals, pub nights to team building events CPD Allowance alongside quarterly reflections to ring fence time for development and growth Private medical insurance and cash plan Holiday buy back scheme (up to 10 days p/a) Employee Assistance Programme with a dedicated company counsellor Background to our Organisation We are an education technology company that enables corporate and government organisations to achieve their business goals by educating their workforce with critical digital transformation skills to succeed in the AI era. We deliver unique and innovative professional education that is accelerating the digital transformation of our clients, advancing the careers of their employees, helping people get into work and closing the digital skills gap. We are in a sector that is crucial to the economy and workforce, with a lot of opportunity for change and innovation. We are at the cutting edge of teaching applied data and digital skills, with our unique patented learning platform <EDUKATE.AI> offering our clients and learners a unique learning experience. <EDUKATE.AI> was developed with support from Innovate UK and provides all of our learners with 24/7 immediate feedback on their work, helping accelerate the learning process and providing a sandbox environment to experiment on real world datasets. Since 2016, we have supported more than 15,000 learners across four continents with nearly 550,000 pieces of code submitted for feedback on <EDUKATE.AI>. We are trusted by some of the most recognisable brands in the world to educate their workforce, including Microsoft, the NHS, GSK, easyJet, the BBC and John Lewis. Our focus on applied learning to create business impact sets us apart - individual learners have reported applying their skills at work to generate recorded value of up to £40m. Our Values At the centre of the way we work together and inspire each other to achieve success are these core values: Entrepreneurial We take initiative and show entrepreneurial spirit which fuels innovation at Cambridge Spark. This includes identifying opportunities for improvement, taking ownership for implementing solutions effectively and driving improvement by using proof of concepts to demonstrate the feasibility and value of their work. Team Spirit Everyone is part of building an open and transparent culture, communicating effectively to raise issues, discuss improvements and share the evidence used to make decisions. Customer-focused Our customers are at the centre of everything we do, inspiring us to create great work. We strive to build friendly, professional and lasting relationships with them to better understand and anticipate their needs. Gold Standard We are experts in our field and are constantly developing our technology and offering. We set the benchmark in our industry: both in what we offer customers and in how we deliver it. ____________________________________________________________________________ Cambridge Spark is an Equal Opportunities Employer and prohibits discrimination and harassment of any kind. Cambridge Spark is committed to the principle of equal employment opportunities for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at Cambridge Spark are based on business needs, job requirements and individual qualifications, without regard to race, colour or ethnicity, ability or disability, gender or gender reassignment, sexual orientation, marital status, religion, age or any other status protected by the laws or regulations in the locations where we operate. Cambridge Spark will not tolerate discrimination or harassment based on any of these characteristics. Cambridge Spark encourages applicants of all ages.