Data Associate - Upstream and Carbon Management Data

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. That’s why we cover the entire supply chain with unparalleled breadth and depth, backed by over 50 years’ experience. Our team of over 2,400 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.

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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

About the Role:

The UCM Data team builds, enhances, and maintains the data that underpins Wood Mackenzie’s unique understanding of the energy and natural resources sectors. Data is the key driver behind Wood Mackenzie’s mission to transform the way we power the planet.

Key Responsibilities:

• Develop deep understanding of energy data workflows and customer needs

• Manage and maintain our market leading datasets

• Deliver analytics solutions through integrated datasets and automated pipelines

• Ensure data quality ownership while meeting client requests with high standards

• Identify and document system optimization and improvement opportunities

• Apply agile methodologies to foster continuous improvement and measurable success

• Maintain GIS platforms and databases using industry best practices

• Collaborate across teams to deliver data assets

Required Qualifications:

• Experience in data roles with focus on ingestion, cleansing, and quality management

• Proficiency in SQL and both relational/NoSQL database systems

• Proficiency in data visualization tools (Power BI preferred)

• Proficiency using GIS software like ArcPro

• Experience applying technology solutions using agile methodologies

• Strong problem solving, critical thinking and communication abilities

Preferred Qualifications:

• Background in Oil & Gas exploration, Geology, Petroleum Engineering, or related field

• Python programming experience

• AWS cloud platform knowledge

• API integration experience

• Passion for emerging data technologies

Wood Mackenzie is committed to creating an inclusive workplace where all qualified candidates are encouraged to apply, regardless of background, identity, or experience level.

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