Future Tech Jobs Future Tech Jobs

Data Analyst - Renewable Energy PPA

Octopus Energy
London, United Kingdom
4 months ago
Applications closed

Related Jobs

View all jobs
Spotlight

Machine Learning Engineer - National Security (Gloucestershire)

Mind Foundry Gloucester, Gloucestershire, United Kingdom
On-site Clearance Required

Data Scientist

Randstad Technologies Recruitment London, United Kingdom

Data Scientist

Advertising Standard Authority Old Street, London, United Kingdom
£45,000 – £60,000 pa Hybrid

Data Scientist

Guidant Global London, United Kingdom
£600 – £850 pd On-site Clearance Required

Operations Analyst, User Operations (Trust & Safety) - EMEA

OpenAI London, United Kingdom
Hybrid

Treasury Back Office Analyst

Ocado United Kingdom

Senior Forensic Data Analytics Manager

Brimstone-Recruitment Dublin, City Of Dublin, Ireland
Posted
27 Jan 2026 (4 months ago)
Share
Save job
Create job alert
Overview

The Global Energy Markets team makes sure we always have the electricity and gas we need to power our customers' homes and businesses, while supporting the grid to accelerate the transition to Net Zero. To deliver on this mission, we are looking for a Data Analyst to join the Energy Markets team and support our PPA activities by delivering high-quality market, project and portfolio analysis. You'll identify power market trends, run financial and operational analysis of the renewable projects we contract, and assess portfolio-level performance, risk and diversification. You will work closely with commercial, trading and risk teams to turn data into clear decision-ready insights that support PPA structuring, valuation and ongoing portfolio optimisation, ensuring our contracting and risk management decisions are grounded in robust analysis. You'll excel at listening, understanding stakeholder challenges and taking ownership for translating them into pragmatic analysis and scalable data products (reports, models and dashboards). This is a fantastic opportunity to work at the intersection of renewables, markets and data in an award winning team for a high growth business that is at the forefront of the transition to net zero.

We love getting to know our applicants! To make sure we have enough time to give every application a thoughtful review, we may occasionally hit pause on new submissions. If you're excited about this role, we'd love to see your application sooner rather than later.

Responsibilities
  • Work across Octopus Energy Group to support PPA operations and portfolio growth by liaising with Trading, Risk, Forecasting and Engineering teams
  • Become a subject matter expert on power market, generation and PPA-related datasets
  • Analyse power market trends, prices, volatility and capture rates to support contracting decisions
  • Develop and maintain data models used for PPA and portfolio reporting (including testing and version control)
  • Build and maintain dashboards and analytical views for PPA performance and portfolio monitoring (e.g. Streamlit/Lightdash BI tools)
  • Build, maintain and assure analytical reports for commercial, trading and risk financial and operational analysis of renewable projects under contract
  • Perform portfolio-level analysis across technologies, geographies and contract types
  • Support risk management analysis across the PPA portfolio, including price, volume and shape risk
  • Deliver one-off deep dive analyse and investigations using SQL and Python, automating recurring analyses where possible
  • Support valuation, repricing and sensitivity analysis for new and existing PPAs
  • Provide analytical support for internal reviews, audits and regulatory reporting where required
  • Consider and propose creative risk reducing structures, including insurance, derivatives, hybrid, long-term value development
Qualifications
  • At least 2+ years experience working in a similar data position delivering actionable insights that support strategic decision-making
  • A curious and self driven mentality - when faced with a new problem is capable of seeking out an answer with minimal support
  • Highly data literate and numerate - able to make sense of lots of data from various sources and of different types, and shape it into a coherent story
  • A great communicator - can explain complex technical problems to non-technical teams and translate business problems into efficient data solutions
  • Strong attention to detail and a commitment to data quality
  • Learns fast and is enthusiastic about learning new technologies
  • Proficient with SQL, Python, Excel and Google sheets
  • Nice to have:
    • Experience building dashboards or lightweight data apps (e.g. Streamlit or Lightdash)
    • Experience working in the renewable energy industry, ideally with PPA or power market analysis
    • Experience working in a modern cloud data environment, including using cloud data warehouses, version-controlled analytics codebases (e.g. git), and building analytical data models (e.g. using dbt)
    • Experience working collaboratively on codebases using git


#J-18808-Ljbffr

Industry Insights

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

Products

Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Advertising machine learning jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Jobs

Machine Learning Jobs UK 2026: What to Expect Over the Next 3 Years

Machine learning has undergone a transformation that few technology disciplines can match. In the space of three years it has moved from a specialism sitting at the edges of most organisations' technology strategies to a capability that sits at the centre of them. The tools have changed, the expectations have shifted, and the range of industries treating machine learning as a core business function — rather than an experimental one — has expanded dramatically. For job seekers, this creates both opportunity and complexity in roughly equal measure. The machine learning jobs market of 2026 is significantly larger than it was three years ago, but it is also significantly more demanding. Employers have developed more sophisticated expectations, the technical bar for specialist roles has risen, and the landscape of tools, frameworks, and architectural patterns that practitioners are expected to know has broadened considerably. The candidates who will thrive over the next three years are those who understand where the discipline is heading — which specialisms are attracting the most investment, which technologies are reshaping what machine learning engineers and researchers are expected to build, and how the definition of a machine learning career is evolving beyond the model-building core toward a much wider range of roles across the full ML lifecycle. This article breaks down what the UK machine learning jobs market is likely to look like through to 2028 — covering the titles emerging right now, the technologies driving employer demand, the skills that will matter most, and how to position your career ahead of the curve.

Jobs

New Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.

🍪 Basic, anonymous analytics (aggregate counts only, never shared) are always on. Accept to also enable third-party tools — Google Analytics, Microsoft Clarity, Mixpanel, Leadfeeder — which help us match you with relevant Machine Learning roles. We never sell your data or use it for cross-site advertising. See our Cookie Policy.