Job Overview
At Octopus Energy Generation (OEGEN), we're on a mission to build a cleaner, smarter energy future. To keep up, we need brilliant people who are innovative, entrepreneurial, and relentless builders who love problem‑solving and want to make a real impact.
We're looking for an entry‑level Systems & Data Analyst to join our transformation team. This is a fantastic opportunity for a creative tech whiz who loves to build small projects at home and enjoys using technology to solve problems. While approximately 40% of your role will involve the essential administration of key systems, 60% will be creative, constructive, and innovative work as we undergo a digital, AI‑driven tech transformation. You'll get to learn loads, fast, with a high degree of autonomy and creativity. You don't need years of commercial experience, just a passion for tech and data, curiosity, attention to detail, and a drive to learn. Whilst we maintain a degree of flexibility, this position requires an average of 3 days in the office per week.
Responsibilities
- Build innovative solutions: We need a ninja vibe coder who is ready to hack stuff up and build internal solutions. You'll be given a wireframe and data and asked to build.
- Drive digital transformation: Work closely with the team to identify a problem and design and build workflows to deliver solutions.
- Shape a smarter future: Map out current processes and find creative, small ways to make them better. As you grow, you'll take on more responsibility and start shaping how we use data to make better decisions.
- (40% Core Systems and Data)
- Keep our data reliable: Help onboard new data for funds, assets, and projects. Run simple checks to make sure data is clean, complete, and reliable, and fix issues with the team.
- Maintain clarity: Keep our processes and documentation clear, simple, and useful.
- Manage critical systems: Support the day‑to‑day running of 3 or 4 critical business systems. This includes managing user access, system configurations, and data updates.
- Problem Solve: Log issues and help find smart ways to fix them.
Qualifications
- We are looking for a swiss‑army knife who is a relentless builder and solves life problems with technology. You'll be great at this if you:
- Have a degree (or similar experience) in something analytical — maybe Maths, Economics, Data Science, or Physics
- Have experience with data tools such as HTML, Excel (pivot tables, Power Query) and SQL
- Love solving problems and making sense of complex stuff
- Are organised, curious, and eager to learn new systems
- Enjoy working with data and spotting patterns or errors
- Hold an interest in emerging technologies, including automation and AI
- Communicate clearly and like working with people across teams
- Beneficial Skills & Experience (Great to have, but not essential):
- Familiarity with finance processes (e.g., accounting, invoicing, fund management)
- Experience documenting processes or workflows (e.g., using Visio, Miro)
- Exposure or interest in modern data platforms (e.g., Databricks, PowerBI, Ardoq)