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Finance Data Analyst

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Octopus Energy

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Location:
United Kingdom , London

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Category:

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Contract Type:
Not provided

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Salary:

Not provided

Job Description:

This role sits right at the intersection of finance, data, and the wider business; giving you real ownership over how costs flow through the accounts and how they impact our reporting. You’ll work closely with our Finance and Gross Margin teams to build and maintain a robust cost accruals process, partner with other teams across the business to understand how costs arise in the real world, and turn that insight into scalable, automated processes.

Job Responsibility:

  • Become a subject matter expert in our cost base in the UK, including how these costs are validated and settled
  • Partner with teams across the business to understand how costs work and build this understanding into our validation and accrual process
  • Work with Finance and Gross Margin teams to build a robust cost accrual model in order to reconcile and validate our cost base reporting, and identify, report and analyse any associated risks and opportunities on monthly basis
  • Build pipelines to automate the entry of invoices into Netsuite from external systems, and partner with teams across the business to build a process for invoice validation
  • Work with our Global Retail teams to roll out cost validation solutions globally

Requirements:

  • Fully or part qualified and actively studying towards an accounting qualification (CIMA, ACCA, ACA or equivalent)
  • Strong SQL and Excel knowledge
  • Experience working in management accounts and an understanding of month end accounting, accruals and finance systems (e.g. Netsuite)
  • Highly data literate and numerate, with great attention to detail
  • Great communicator - can clearly articulate complex technical information to non technical colleagues

Nice to have:

  • Experience working in the energy industry, bonus if you have worked with settlement information before
  • Ability to code in Python
  • Experience with building dashboards (eg. in Databricks or Streamlit)
  • Experience in modern data development, using modelling tools such as dbt, Lakehouses such as Databricks, and collaborative codebases such as git

Additional Information:

Job Posted:
February 07, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
Job Link Share:

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