Original listing text, shown exactly as published by the company.
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 - see our full stack below).
- 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
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…
