Data Analyst in Flexibility Team evaluating performance and optimizing trading strategies. Contributing to the development of products for renewable energy systems and customer solutions.
Responsibilities
Perform regular analysis on internal and external data sets.
Use data analysis, modelling, and first-hand research to help inform product and trading strategy and deliver key business insights.
Build and develop simulation models to inform key optimisation challenges and lead deep investigations.
Use Python to conduct rapid analysis, build dashboards and automate data retrieval.
Use SQL and DBT to build data transformation pipelines including creating intermediary tables available for deeper analysis.
Incorporate technical and commercial objectives and constraints into investigations.
Translate complex problems and solutions into results that can be understood by a broad stakeholder group.
Requirements
A quantitative degree and 5+ years’ experience in a relevant field.
Commercially aware, with an understanding of how to represent uncertainty in findings when informing business decisions.
Skilled in Python and SQL. Experience with DBT would be a bonus.
An ability to respond to complicated and poorly defined briefs from stakeholders.
A strong eye for data visualisation and ability to communicate findings at various levels of detail to different stakeholders.
An agile mindset, understanding when a fast and simple approach is best vs a deep and thorough investigation.
Entrepreneurial mindset with a clear bias for informed action and a talent for solving problems independently.
Excellent communication and documentation skills.
An interest in sustainability, green energy and Net Zero power systems.
Energy markets knowledge is a bonus.
Benefits
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