Data Lead – Commercial Analytics

Job Description

hackajob is collaborating with Octopus Energy to connect them with exceptional professionals for this role.

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Introductionn  

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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.

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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.

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 Role Summaryn  

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You will lead the GB Commercial Analytics “pod”, owning pricing operations, commercial reporting, and growth insight to drive sales, margin, compliance, and customer satisfaction.

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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.

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 What you'll do

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• Set priorities and guide work & output of a small, high-performance data team.

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• 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.

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• Drive pricing strategy and optimisation through competitor intelligence, market analysis, and data-driven recommendations to the Senior Leadership Team.

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• Own and evolve commercial reporting pipelines across customer switching, sales activity from all channels, marketing campaigns, retention and competitor insight.

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• Deliver growth and customer insight, including key metric reporting, funnel analysis, customer forecasting, and retention initiatives.

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• 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.

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• Contribute to and collaborate with our global working groups to ensure and enable aligned reporting and shared analytics projects.

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• Champion data best practices, integrity and continuous improvement in analytics engineering, tools and processes.

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What you'll have

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• Proven experience mentoring and developing data professionals.

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• Strong commercial acumen, preferably in pricing, margin optimisation, and/or growth analytics.

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• Hands-on expertise with modern data platforms and analytical tools (see our stack below).

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• Strong communication skills to influence non-technical stakeholders and senior leadership.

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• A track record of delivering actionable insights that drive measurable business impact.

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

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• Python, pandas and SQL in Jupyter notebooks for analysis

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• dbt and Databricks data platform with Delta Lake

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• Lightdash as our BI tool and semantic layer

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• Streamlit for interactive data applications

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• Airflow for orchestration

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• Kubernetes for application deployment

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• CI/CD with GitHub and CircleCI

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• Infrastructure on AWS, deployed with Terraform / Spacelift 

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