Data Analyst

ADLIB Recruitment | B Corp
Bristol
3 days ago
Create job alert
  • Data reporting, Onboarding, Product Research.
  • Fast-growing Climate Tech startup.
  • Excel, Python, SQL, Data analysis.


We’re looking for a Product Data Analyst to join an ambitious Climate Tech startup in a role with a huge variety of fun challenges in Bristol. They’ve built a platform which helps to drive the transition away from fossil fuel heating in people’s homes and are now looking to add to their team. They’re helping to seriously reduce carbon emissions whilst also helping to reduce homeowner energy bills. Now is a great time to join them as they’re scaling and have already had great success.


*2 days a week in the Bristol office.


What skills you’ll be needing


This a great all-rounder role needing a variety of problem solving, data/analytical and people skills. A good coverage across the following is important.


  • Science, Physics or Maths based academic background.
  • Data analysis, reporting and modelling skills – you’ll be numbers focused, an ace at Excel and most likely have worked with SQL and Python.
  • Able to dig into detailed equations to figure out how to make hard calculations easy.
  • Perhaps a start-up or engineering background.
  • Relentlessly proactive – you naturally take responsibility for things and are always pushing to make things better;
  • A clear, concise communicator and people person — you take pride in the quality of your written communication and have a keen eye for detail.


What you’ll be doing


You’ll be working closely with the Co-Founder across the entire business, and making a serious and measurable dent on the UK’s carbon emissions. Every day will be different but here’s some of the likely duties…


  • Data, analysis & reporting – digging into how customers are using the platform, presenting insights to the rest of the team, managing all of the technical product data they’re continually adding, and helping develop the modelling that underpins the platform.
  • Able to dig into detailed equations to figure out how to make hard calculations easy.
  • Product - doing the research to help them decide what they should build next, figuring out how they should build it, and then working closely with the dev team to get it done.
  • Customer success – onboarding and assisting new clients.
  • Writing content – writing product updates, onboarding guides, helping with grant applications.


What you’ll get in return for your talents

They’re looking at a range of experience (£40K-50K) and will offer equity/options to help you feel really embedded into the success of the company. There’s 25 days holiday (plus bank hols) and the opportunity to work from abroad for 30 days each year. In addition there’s an excellent opportunity to progress your career as they grow, learning from people who have built Net-Zero products previously. If you’re looking for a role where you can make a real impact and see your work helping the environment then this is one for you!


What’s next


Like the sound of this one? Send in your CV now for immediate consideration.

Related Jobs

View all jobs

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst- Celonis Experience

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Quantum-Enhanced AI in Data Science: Embracing the Next Frontier

Data science has undergone a staggering transformation in the past decade, evolving from a niche academic discipline into a linchpin of modern industry. Across every sector—finance, healthcare, retail, manufacturing—data scientists have become indispensable, leveraging statistical methods and machine learning to turn raw information into actionable insights. Yet as datasets grow ever larger and machine learning models become more computationally expensive, there are genuine questions about how far current methods can be pushed. Enter quantum computing, a nascent but promising technology grounded in the counterintuitive principles of quantum mechanics. Often dismissed just a few years ago as purely experimental, quantum computing is quickly gaining traction as prototypes evolve into cloud-accessible machines. When paired with artificial intelligence—particularly in the realm of data science—the results could be game-changing. From faster model training and complex optimisation to entirely new forms of data analysis, quantum-enhanced AI stands poised to disrupt established practices and create new opportunities. In this article, we will: Explore how data science has reached its current limits in certain areas, and why classical hardware might no longer suffice. Provide an accessible overview of quantum computing concepts and how they differ from classical systems. Examine the potential of quantum-enhanced AI to solve key data science challenges, from data wrangling to advanced machine learning. Highlight real-world applications, emerging job roles, and the skills you need to thrive in this new landscape. Offer actionable steps for data professionals eager to stay ahead of the curve in a rapidly evolving field. Whether you’re a practising data scientist, a student weighing up your future specialisations, or an executive curious about the next technological leap, read on. The quantum era may be closer than you think, and it promises to radically transform the very fabric of data science.

Data Science Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Data science has become an indispensable cornerstone of modern business, driving decisions across finance, healthcare, e-commerce, manufacturing, and beyond. As organisations scramble to capitalise on the insights their data can offer, data scientists and machine learning (ML) experts find themselves in ever-higher demand. In the UK, which has cultivated a robust ecosystem of tech innovation and academic excellence, data-driven start-ups continue to blossom—fuelled by venture capital, government grants, and a vibrant talent pool. In this Q3 2025 Investment Tracker, we delve into the newly funded UK start-ups making waves in data science. Beyond celebrating their funding milestones, we’ll explore the job opportunities these investments have created for aspiring and seasoned data scientists alike. Whether you’re interested in advanced analytics, NLP (Natural Language Processing), computer vision, or MLOps, these start-ups might just offer the career leap you’ve been waiting for.

Portfolio Projects That Get You Hired for Data Science Jobs (With Real GitHub Examples)

Data science is at the forefront of innovation, enabling organisations to turn vast amounts of data into actionable insights. Whether it’s building predictive models, performing exploratory analyses, or designing end-to-end machine learning solutions, data scientists are in high demand across every sector. But how can you stand out in a crowded job market? Alongside a solid CV, a well-curated data science portfolio often makes the difference between getting an interview and getting overlooked. In this comprehensive guide, we’ll explore: Why a data science portfolio is essential for job seekers. Selecting projects that align with your target data science roles. Real GitHub examples showcasing best practices. Actionable project ideas you can build right now. Best ways to present your projects and ensure recruiters can find them easily. By the end, you’ll be equipped to craft a compelling portfolio that proves your skills in a tangible way. And when you’re ready for your next career move, remember to upload your CV on DataScience-Jobs.co.uk so that your newly showcased work can be discovered by employers looking for exactly what you have to offer.