At Octopus Energy Services, we're at the forefront of the energy revolution, committed to accelerating the global transition to a sustainable future. The widespread adoption of low carbon technologies is critical to achieving net-zero emissions and combating climate change. Our mission is to make these innovative solutions not only environmentally friendly but also as cost-effective and accessible as possible, ensuring a greener, more affordable energy landscape for everyone.
As a Finance Data manager, you will play a critical role in driving our business forward. You will work closely with our supply chain, commercial and operations teams to provide cleaned, up-to-date information and data-driven insights that inform business decisions and improve our competitiveness and scalability. In the role, you’ll work on some of the biggest challenges facing the organisation and leverage the latest technologies to answer these problems.
What you'll do
Maintain, improve and coordinate monthly financial reports for C-suite
Create, maintain and optimise reporting for various different streams of cost information
Use dbt and create semantic layers to inform AI enabled dashboards, reports, and visualisations
Analyse and interpret data to track and improve commercial and operational performance
Collaborate with supply chain and operations teams to identify opportunities for growth, optimisation and better service delivery
Provide ad-hoc analysis and support as required
What you'll have
A passion for sustainability and the drive to make a positive impact on the world
Experience working within a finance team and senior stakeholders
Proficiency in writing robust, performant SQL queries
Some experience building robust data pipelines, using Python and dbt
Strong analytical skills, commercial interest, and the ability to distinguish between what matters and what doesn't
Experience working in a fast-paced, dynamic environment
Comfortable manipulating and analysing data in a scripting language
Our tech stack
Python as our main programming language
DBT for data modelling
Databricks as our datalake platform
Kubernetes for data services
Orchestra for task orchestration
Terraform for infrastructure
Lightdash for data applications
Airflow and Astronomer for job scheduling and tracking
Circle CI for continuous deployment
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