Data Associate - Lens Hydrogen
Data Associate - Lens Hydrogen
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Job Description
Wood Mackenzie is the global data and analytics business for the renewables energy and natural resources industries. Enhanced by technology. Enriched by human intelligence. In an ever-changing world companies and governments need reliable and actionable insight to lead the transition to a sustainable future. Thats why we cover the entire supply chain with unparalleled breadth and depth backed by over 50 years experience. Our team of over 2400 experts operating across 30 global locations are enabling customers decisions through real-time analytics consultancy events and thought leadership. Together we deliver the insight they need to separate risk from opportunity and make confident decisions when it matters most.
Wood Mackenzie Values
- Inclusive we succeed together
- Trusting we choose to trust each other
- Customer committed we put customers at the heart of our decisions
- Future Focused we accelerate change
- Curious we turn knowledge into action
Role Purpose
As part of the Data team working on the delivery of data for Lens Hydrogen the Data Associate will work on the development of costs emissions and other data models for the low-carbon hydrogen and derivatives market. Leveraging Wood Mackenzies proprietary data models and expertise these models will enable modelling of real-world conditions to assess evolving trends in the hydrogen market.
The role will also require integrating models with the growing database of model parameters including policy data cost curves and technological efficiency curves.
There will be close-collaboration with cross-functional teams including research product engineering and design to build and develop new models and to generate new datasets for Lens Hydrogen.
Main Responsibilities
- Support the development of costs emissions and other data models in code
- Maintain and debug code implemented in existing models and to understand cases where model logic does not hold
- Document methodologies implemented in models to support further model analysis
- Document data schemas for datasets used in cost models
- Prepare and transform datasets for models - ensuring that datasets conform to required data schemas
- Support the writing of requirements for cost model work
Knowledge and Experience
- Experience in performing data ETL extracting transforming and loading data for use ensuring high levels of data quality completeness and integrity
- Proficiency in Python and SQL
- Experience in data cleaning and normalization
- A curiosity about the energy transition and developments in the hydrogen market
Key Competencies
- Issue identification and problem-solving
- Attention to detail
- Planning and implementation
- Efficiency-focused
- Determined and resilient
- Continuous improvement
- Creativity
- Building and maintaining relationships
- Communication
- Personal impact
- Collaboration
Equal Opportunities
We are an equal opportunities employer. This means we are committed to recruiting the best people regardless of their race colour religion age sex national origin disability or protected veteran status. You can find out more about your rights under the law at
If you are applying for a role and have a physical or mental disability we will support you with your application or through the hiring process.
Required Experience:
IC
Employment Type
Full-Time
