Head of Analytics - Commercial

Octopus Energy

London (GB), United Kingdom

Full Time

Posted March 9, 2026

£27k - £29k· Est.

Energy Management

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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 September 28, 2026
Classification: Modern power-system classification not yet published for this listing.Legacy source industry field: Energy Management
Pay provenance: Estimated benchmark; not employer-provided

Job Description

In just 10 years, Octopus Energy has evolved from a disruptive challenger into the UK’s largest energy retailer and a well-loved brand, serving more than 8 million customers.

Key Responsibilities

Lead UK team: Lead, set priorities, coordinate and review the work of a high-performance team of commercial and marketing data analysts.
Strategic analytics: Use data to guide our understanding of our customers and our competitors. Impact our UK and global strategy through insights presented to the senior leadership team.
Pricing operations: Enable us to react quickly to the ever-changing energy industry through smooth price changes, ensuring we offer good deals for our millions of customers and comply with regulations.
Metrics: Help people all across the business understand the key drivers of their operations through well-defined KPIs and intuitive dashboards. Examples of metrics include seeing why people churn, performance of marketing campaigns, lifetime value calculations etc.
Global cooperation: Prioritise and coordinate the data teams supporting Octopus’ operations globally, balancing local needs with global opportunities.

Requirements

Experience as a manager of a high-performing data team.
Hands-on expertise with modern data platforms and analytical tools (especially SQL and python - see our full stack below).
Passion for both hands-on data work and leading teams to deliver insights.
Strong communication skills to influence non-technical stakeholders and senior leadership.
Strong commercial acumen, preferably in pricing, margin optimisation, and/or growth analytics.
A track record of delivering actionable insights that drive measurable business impact.
Python, pandas and SQL in Jupyter notebooks for analysis
dbt and Databricks data platform with Delta Lake
Lightdash as our BI tool and semantic layer
Streamlit for interactive data applications
Airflow for orchestration
Kubernetes for application deployment
CI/CD with GitHub and CircleCI
Infrastructure on AWS, deployed with Terraform / Spacelift