Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Analyst

Ohme
London
11 months ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

We’re on a mission to make the switch to sustainable transport and energy faster, easier and more affordable. We use our own technology stack, data smarts and industry knowledge to build a game-changing capability. Our intelligent energy platform helps our customers access renewable energy, understand consumer behaviour, and powers smart charging for EVs. The worlds of energy and transport are colliding and Ohme is at the heart of this. By using technology and data integrations to connect cars, chargers, people, energy providers and more, Ohme has a powerful platform that puts the consumer at the core. Ohme has been selling its chargers to consumers since mid 2019 and has had exponential growth since. We are now operating in multiple countries and have partnerships with the likes of Octopus Energy, Volvo Benelux, VW UK, Mercedes UK, Hyundai UK and other innovative brands. We are scaling up the business and are building out the team for rapid growth. If you’re interested in joining a fast-growing cleantech venture on a journey to speed up the global transition to clean energy, read on We are seeking a Data Analyst to join the Data Analytics team at Ohme, someone who thrives on leveraging data to create impactful, user-centric products that foster seamless customer engagement and streamline the journey toward owning an Ohme, ensuring an effortless and satisfying experience. This role will be responsible for supporting the product teams with reporting and analysis to help plan and optimise products while driving A/B testing within the business ensuring decisions are data driven. Requirements Bachelor’s or Master’s degree in STEM, Business Administration or a related field. More than three years experience as a Data Analyst or Product Analyst in technology, energy, transport or customer service sectors is a plus. Experience of using data to drive business decisions within previous roles. Advanced SQL and experience with statistical packages (Excel, SPSS, SAS, etc.). Knowledge of Python is a plus. Familiarity with a BI application such as Power BI, Tableau, Looker, QuickSight or Sigma. Strong understanding of data analysis techniques, with a focus on their application in business contexts. Excellent analytical, problem-solving, and communication skills, with the ability to work effectively in a dynamic team environment. Experience working with dbt to build and maintain data models. Benefits You’ll get to work in a fast-paced and rapidly growing scale-up with global ambitions, that is cutting edge, passionate about sustainability and seeks to make the world a better place. Our benefits: • Competitive salary and discretionary bonus • Private Health Insurance • Aegon Pension Scheme • Life Assurance Scheme with death in service benefit of 4x salary • Income Protection Scheme for long term illness Diversity, Equity and Inclusion are at the heart of what we do and we encourage a culture where everyone can be themselves at work. We actively seek out a diverse range of talent and our policies ensure that every job application and employee is treated fairly, with equal opportunity to succeed and to feel included.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Why the UK Could Be the World’s Next Machine Learning Jobs Hub

Machine learning (ML) is becoming essential to industries across the globe—from finance and healthcare to retail, logistics, defence, and the public sector. Its ability to uncover patterns in data, make predictions, drive automation, and increase operational efficiency has made it one of the most in-demand skill sets in the technology world. In the UK, machine learning roles—from engineers to researchers, product managers to analysts—are increasingly central to innovation. Universities are expanding ML programmes, enterprises are scaling ML deployments, and startups are offering applied ML solutions. All signs point toward a surging need for professionals skilled in modelling, algorithms, data pipelines, and AI systems. This article explores why the United Kingdom is exceptionally well positioned to become a global machine learning jobs hub. It examines the current landscape, strengths, career paths, sector-specific demand, challenges, and what must happen for this vision to become reality.

The Best Free Tools & Platforms to Practise Machine Learning Skills in 2025/26

Machine learning (ML) has become one of the most in-demand career paths in technology. From predicting customer behaviour in retail to detecting fraud in banking and enabling medical breakthroughs in healthcare, ML is transforming industries across the UK and beyond. But here’s the truth: employers don’t just want candidates who have read about machine learning in textbooks. They want evidence that you can actually build, train, and deploy models. That means practising with real tools, working with real datasets, and solving real problems. The good news is that you don’t need to pay for expensive software or courses to get started. A wide range of free, open-source tools and platforms allow you to learn machine learning skills hands-on. Whether you’re a beginner or preparing for advanced roles, you can practise everything from simple linear regression to deploying deep learning models — at no cost. In this guide, we’ll explore the best free tools and platforms to practise machine learning skills in 2025, and how to use them effectively to build a portfolio that UK employers will notice.

Top 10 Skills in Machine Learning According to LinkedIn & Indeed Job Postings

Machine learning (ML) is at the forefront of innovation, powering systems in finance, healthcare, retail, logistics, and beyond in the UK. As organisations leverage ML for predictive analytics, automation, and intelligent systems, demand for skilled practitioners continues to grow. So, which skills are most in demand? Drawing on insights from LinkedIn and Indeed, this article outlines the Top 10 machine learning skills UK employers are looking for in 2025. You'll learn how to demonstrate these capabilities through your CV, interviews, and real-world projects.