Commercial Analytics Manager
Octopus EnergyLondon, United Kingdom
Full Time
Posted November 4, 2026
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Listing evidence and provenance
- Source
- Lever View original listing
- Freshness
- Open in the current public read path; this is not an employer guarantee.Last observed November 12, 2026
- Classification
- Modern power-system classification not yet published for this listing.Legacy source industry field: Energy Management
- Pay provenance
- Pay not available
Job Description
Provide consistent portfolio level reporting for OEB to determine overall net margins.
Key Responsibilities
- Provide consistent portfolio level reporting for OEB to determine overall net margins. This will include revenue, cost of sales, debt and operational expenditure.
- Lead the development and management of the company’s forecast, ensuring accuracy and alignment with strategic goals.
- Work with the team to interrogate the entire cost stack to influence pricing decisions.
- Develop margin optimisation strategies, including pricing adjustments, cost reductions, and process improvements.
- Improve accuracy of gross margin calculations in partnership with Finance and Pricing teams.
- Lead meetings with colleagues and senior management to provide clear options in the decision making process.
- Work closely with the pricing team to influence key decisions to ensure we provide customers with a wide range of tariffs which are set with a conscious view of outturned margins.
- Provide monthly reporting packs to monitor different aspects of performance including budgets and variance analysis.
- Work closely with business units to gather key inputs and assumptions for accurate forecasting.
- Improve the tools behind our forecasting, moving away from spreadsheet-heavy processes towards Python and SQL-based analysis.
- Compare forecasts with monthly actuals and thoroughly investigate variances across the business's book.
Requirements
- Strong proficiency in SQL to extract, manipulate, and transform complex commercial data.
- Experience using Python for data analysis, automation, or financial modeling.
- A minimum of 3 years experience of using data and coding to solve commercial, pricing, or financial problems.
- A proven track record of untangling complex, legacy spreadsheet processes and replacing them with streamlined, automated solutions.
- Strong financial acumen, particularly with reporting margins, forecasting, and variance analysis.
- The ability to bridge the gap between commercial finance and data analytics, summarising complex findings into clear narratives for senior, non-technical stakeholders.
- A self-starter mentality with the confidence to take ownership of a growing area, solve complex problems, and constantly introduce new processes.
- Ideally, previous financial, commercial, or pricing experience within the energy industry (considered a strong bonus, though we are open to exceptional data-driven candidates from other sectors).
Ready to Apply?
Apply directly on Octopus Energy's site
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