Data Lead - Commercial Analytics

慨正橡扯; Greater London; On-site; GBP 70,000 - 90,000; Full time

Job summary

慨正橡扯 is looking for a leader for its GB Commercial Analytics team in Greater London. This role involves owning pricing operations and providing insights to drive growth and customer satisfaction. The candidate must have strong commercial acumen and excellent communication skills to work with senior leadership.

The ideal individual will have proven experience in mentoring data teams and expertise with data platforms. Join us to continue redefining the energy market!

Qualifications

• Proven experience mentoring and developing data professionals.
• Strong commercial acumen, preferably in pricing, margin optimisation, and/or growth analytics.
• Hands-on expertise with modern data platforms and analytical tools.

Responsibilities

• Set priorities and guide work of a high-performance data team.
• Own end-to-end pricing operations for domestic tariffs.
• Drive pricing strategy and optimisation through market analysis.
• Deliver growth and customer insight through key metric reporting.
• Champion data best practices and continuous improvement.

Skills

Mentoring data professionals

Commercial acumen in pricing

Hands-on expertise with data platforms

Strong communication skills

Delivering actionable insights

Tools

Python

SQL

Databricks

Airflow

Kubernetes

Job description

Introduction

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 lead the GB Commercial Analytics "pod", owning pricing operations, commercial reporting, and growth insight to drive sales, 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

• Set priorities and guide work & output of a small, high‑performance data team.
• 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.
• Partner with Commercial, Sales, Marketing, Energy Markets, Flexibility, Gross Margin and Strategic Finance teams to provide forecasting inputs, KPI reporting, margin analysis and strategic support.
• Contribute to and collaborate with our global working groups to ensure and enable aligned reporting and shared analytics projects.
• Champion data best practices, integrity and continuous improvement in analytics engineering, tools and processes.

What you'll have

• Proven experience mentoring and developing data professionals.
• Strong commercial acumen, preferably in pricing, margin optimisation, and/or growth analytics.
• Hands‑on expertise with modern data platforms and analytical tools (see our stack below).
• 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

We employ software engineering best practices to design, test, and deploy our data platform and services using the below technologies:

• 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