Senior Data Analyst - Lens Hydrogen

Wood Mackenzie

Wood Mackenzie, a leader in data and analytics for the renewable energy sector, provides valuable insights for companies navigating the transition to sustainable practices. With over 2,400 experts in 30 locations worldwide, the company is dedicated to enhancing decision-making in the ever-changing energy landscape. The Senior Data Analyst role supports the development of innovative models for the emerging hydrogen market.

In this role you can expect to have the responsibilities:

• Develop code for data pipelines focused on costs, emissions, and other models.
• Implement and refine data quality rules within packages.
• Create data visualizations for quality checks using BI tools.
• Collaborate with research to embed model methodologies in code.
• Work with engineering teams to test models.
• Maintain, debug, and optimize existing model code.
• Evaluate and expand data coverage of existing datasets.
• Regularly assess and improve dataset quality.
• Conduct code reviews to enhance efficiency and scale model development.
• Document model methodologies and code for clarity and future work.
• Utilize problem-solving and data analysis to enhance data pipeline efficiency.

This role comes with the following benefits:

• Equal opportunity employer
• Support for applicants with disabilities during application and hiring process

This role requires you to have:

• Data ETL (Extract, Transform, Load)
• Python
• SQL
• Data quality assurance
• BI tools for data visualization

You would benefit from having:

• Experience with model implementation for data generation
• Interest in energy transitions and hydrogen market

Wood Mackenzie fosters an inclusive, trustful, and customer-focused environment, driven by curiosity and future-oriented leadership. The company is committed to equal employment opportunities for all, regardless of race, color, religion, age, sex, national origin, disability, or veteran status.