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

Apply Now

Systems and Data Analyst

Octopus Energy Group
City of London
1 week ago
Create job alert

At Octopus Energy Generation (OEGEN), we're passionate about powering a sustainable future. As pioneers in the renewable energy space, we don’t just invest in utility‑scale projects; we invest in people, communities, and a greener tomorrow.


Since stepping into the renewables arena in 2010, we've made waves—becoming a top investor in onshore wind across mainland Europe, the largest backer of solar power in Europe, and now, we're diving into offshore wind with equal enthusiasm. Today, we proudly manage over £7bn in renewable energy assets worldwide.


Our dynamic portfolio includes over three hundred major energy‑generating companies, from wind farms to solar power plants, with exciting new ventures in energy storage and hydrogen on the horizon.


Octopus Energy Generation (OEGEN) seeks an enthusiastic and analytical Systems & Data Analyst to join our growing transformation team. This is an entry‑level role ideal for someone who is passionate about systems management, data governance, decision making, enterprise architecture, and driving continuous improvement. You’ll play a critical role in maintaining and enhancing our key business systems (Yooz, eFront, SkySpecs, Ardoq), supporting our data‑driven transformation journey, and developing your skills across data stewardship, process innovation, and stakeholder engagement.


Whilst we maintain a degree of flexibility, this position requires an average of 3 days in the office per week.


What you'll do
Systems Management & Support

  • You’ll be the first responder for our vital systems: Yooz, eFront, SkySpecs and Ardoq.
  • Lend a hand with Databricks‑CDM activities.
  • Keep our system settings, user permissions and data integrity sparkling clean.
  • Talk with our system vendors to tackle issues and conjure up improvements.
  • Help your colleagues become system pros by assisting with training sessions.

Data Onboarding & Quality Assurance

  • You’ll be the gatekeeper for new counterparties, funds, assets and projects, ensuring they get onboarded smoothly.
  • Validate, reconcile and quality‑check data. We’re talking super reliable data every time.
  • Spot those sneaky data issues before they cause trouble and work with the team to fix them.

Process Improvement & Documentation

  • Help us craft awesome onboarding playbooks and workflows.
  • Share all the cool tips and tricks with the team, making sure our best practices are clear and easy to find.
  • Always be on the lookout for ways to make our processes simpler, snappier and just plain better.

What you’ll need

  • A brain trained in an analytical or numerical discipline (Math, Finance, Data Science, Economics).
  • Seriously sharp analytical thinking and an eagle eye for detail.Comfortable learning and managing multiple business systems.
  • Top‑notch interpersonal and communication skills, with a knack for working with others.
  • Organised, proactive of not afraid of a little ambiguity or complexity.

Beneficial skills

  • Familiarity with finance processes (e.g., accounting, invoicing, fund management).
  • Experience with data tools such as Python, Excel (pivot tables, Power Query), SQL or APIs.
  • Experience documenting processes or workflows (e.g., using Visio, Miro).
  • Exposure or interest in modern data platforms (e.g., Databricks, PowerBI, Ardoq).
  • Interest in emerging technologies, including automation and AI.

Why else you’ll love it here

  • Wondering what the salary for this role is? Just ask us! On a call with one of our recruiters we cover salary because we want to match your experience with the correct pay. We’re flexible and believe salary should never be a barrier.
  • Octopus Energy Group is a unique culture. An organisation where people learn, decide and build faster. Where people work with autonomy, alongside a wide range of amazing co‑owners, on projects that break new ground. We want your hard work to be rewarded with perks you actually care about! We were recently named the UK's top company to work for and we ranked in the top ten in the Sunday Times Best Places to Work 2024. Our Group CEO, Greg has recorded a podcast about our culture and how we empower our people. We’ve also been placed in the top 10 companies for senior leadership.
  • Visit our UK perks hub – Octopus Employee Benefits.

Our process usually takes up to 4 weeks, but we’ll always do our best to flex around what works for you. Along the way, you’ll chat with our recruitment team and your recruiter will help you throughout different stages. Got any burning questions before then? Drop us a message at and we’d love to help!


If this sounds like you then we’d love to hear from you. 🚀


As an equal opportunity employer, we do not discriminate on the basis of any protected attribute. Our commitment is to provide equal opportunities, an inclusive work environment, and fairness for everyone.


Studies have shown that some groups of people, like women, are less likely to apply to a role unless they meet 100% of the job requirements. Whoever you are, if you like one of our jobs, we encourage you to apply as you might just be the candidate we hire. Across Octopus, we’re looking for genuinely decent people who are honest and empathetic. Our people are our strongest asset and the unique skills and perspectives people bring to the team are the driving force of our success.


#J-18808-Ljbffr

Related Jobs

View all jobs

Systems and Data Analyst (Entry Level)

HR Systems and Data Analyst

Senior Commercial Systems and Data Analyst

Expeditor and Data Analyst - VR/31641

Sustainable Investment Data Analyst FTC-15 MONTHS - London Stock Exchange Group

Data Scientist

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.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.