At a Glance
- Tasks: Lead analytics for pricing operations and drive growth insights in a dynamic energy market.
- Company: Join Octopus Energy, the UK's largest energy retailer with a focus on innovation.
- Benefits: Competitive salary, perks hub, and a culture of autonomy and rapid learning.
- Other info: Inclusive workplace that values genuine talent and offers excellent career development opportunities.
- Why this job: Make a real impact in transforming how customers engage with energy through data-driven strategies.
- Qualifications: Expertise in SQL and Python, strong commercial acumen, and experience mentoring data professionals.
The predicted salary is between 80000 - 100000 £ per year.
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. Our rapid expansion has been powered by consistently strong growth across diverse sales channels, the smooth integration of retailer acquisitions, and impressive customer retention. We continue to lead and redefine the energy market through innovative time‑of‑use tariffs and data‑driven commercial strategies that transform how customers engage with energy. We empower customers with dynamic pricing and "Intelligent" EV charging, rewarding them for shifting consumption to greener, cheaper periods.
Role Summary
You will be the leading analyst in the GB Commercial Analytics “pod”, delivering pricing operations, commercial reporting, and growth insight to drive sales and retention, margin, compliance, and customer satisfaction. You will act as a strategic business partner to Commercial, Sales, Marketing and Energy Markets teams, combining hands‑on technical expertise with strong team leadership.
What you’ll do
- Own end‑to‑end pricing operations for domestic tariffs, including launches, quarterly price changes, margin reporting and intelligence, and ensuring regulatory / price cap compliance for millions of customers.
- Drive pricing strategy and optimisation through competitor intelligence, market analysis, and data‑driven recommendations to the Senior Leadership Team.
- Own and evolve commercial reporting pipelines across customer switching, sales activity from all channels, marketing campaigns, retention and competitor insight.
- Deliver growth and customer insight, including key metric reporting, funnel analysis, customer forecasting, and retention initiatives.
- Set priorities, coordinate and review the work of a small, high‑performance team of data analysts.
- Partner with Commercial, Sales, Marketing, Energy Markets, Flexibility, Gross Margin and Strategic Finance teams to provide customer forecasting inputs, KPI reporting, margin analysis and strategic support.
- Contribute to and collaborate with our global working groups to ensure aligned reporting and shared analytics projects.
- Champion data best practices and continuous improvement in analytics engineering, tools and automated processes.
What you’ll have
- Hands‑on expertise with modern data platforms and analytical tools (especially SQL and Python).
- Strong commercial acumen, preferably in pricing, margin optimisation, and/or growth analytics.
- Proven experience mentoring and developing data professionals.
- Strong communication skills to influence non‑technical stakeholders and senior leadership.
- A track record of delivering actionable insights that drive measurable business impact.
Our Data Platform Stack
- 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.
Benefits
Salary is discussed during the interview based on experience. Culture of autonomy and rapid learning. Perks hub available for employee benefits.
Equal Opportunity Statement
As an equal opportunity employer, we do not discriminate on the basis of any protected attribute. Our commitment is to provide equal opportunities, an inclusive work environment, and fairness for everyone. We encourage all candidates to apply, including women, who may not meet 100% of the job requirements. Our aim is to recognise genuine talent, honesty and empathy, and to give a fair chance to all applicants.
Head of Analytics - Commercial employer: Octopus Energy
Octopus Energy Group is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the rapidly evolving electric vehicle sector. Employees benefit from comprehensive growth opportunities, competitive remuneration, and a commitment to sustainability, making it a rewarding place to contribute to meaningful projects while enjoying a supportive team environment in the UK.
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We think this is how you could land Head of Analytics - Commercial
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We think you need these skills to ace Head of Analytics - Commercial
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Octopus Energy, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Octopus Energy. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Octopus Energy
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.