Wood Mackenzie is the global leader in analytics, insights and proprietary data across the entire energy and natural resources landscape.
For over 50 years our work has guided the decisions of the world’s most influential energy producers, utilities companies, financial institutions and governments.
Now, with the world’s energy system more complex and interconnected than ever before, sector-specific views are no longer enough. That’s why we’ve redefined what’s possible with Intelligence Connected.
By fusing our unparalleled proprietary data with the sharpest analytical minds, all supercharged by Synoptic AI, we deliver a explicit, interconnected view of the entire value chain. Our trusted team of 2,700 experts across 30 countries breaks siloes and connects industries, markets and regions across the globe.
This empowers our customers to identify risk sooner, spot opportunities faster and recalibrate strategy with confidence – whether planning days, weeks, months or decades ahead.
Wood Mackenzie
Intelligence Connected
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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
Role Purpose
The Senior Analytics Engineer plays a critical role in advancing the organisation’s analytics capability by designing, scaling, and governing high‑quality analytics-ready data assets on the Snowflake data platform using dbt (data build tool).
This role operates with a high degree of autonomy and is recognised as a technical specialist within analytics engineering, acting as a key bridge between data engineering, data analysis, and business stakeholders. In addition to hands-on delivery, the Senior Analytics Engineer provides technical leadership, shapes best practices, and enables others through mentoring, guidance, and standards.