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 general 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 Brand Video**
**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
**Main Responsibilities**
- Form a strong understanding of the data landscape, domain and workflows for your business area, customers, and products
- Provide specialist skills in data analysis, visualisation, and data management, delivering new Analytics through connected datasets and integrated pipelines
- Advocate for quality, take responsibility for the ownership or of data and whilst fulfilling complex data requests on time and with high standards
- Identify, prioritise, and document opportunities for efficiency, optimisation, migration or improvement in our systems, processes, and datasets
- Work in an agile,



collaborative manner to foster an environment of continuous improvement and incremental delivery, measuring success
- Core user of Data platform and ensures best practices are applied to utilise or maintain databases, tools, models, and processes solutions from data sourcing to client delivery
- Collaborate with colleagues in Research, Data, Product and Engineering to deliver Data Assets while supporting junior colleagues
- Experience in data related roles, demonstrating customer focus and knowledge of core concepts around ingestion, cleansing, and data quality
- Strong skills in Relational and NoSQL Database systems, with ability to query and analyse data using SQL or other techniques
- Expert skills in a data visualisation package (such as PowerBI)
- Excellent communication skills, including mentoring more junior colleagues and managing others’ workloads
- A keen interest and passion for learning new technologies or data skills like Python, understanding of AWS and APIs is an advantage.
**Qualifications**
- Experience in data related roles, demonstrating customer focus and knowledge of core concepts around ingestion, cleansing, and data quality
- Strong skills in Relational and NoSQL Database systems, with ability to query and analyse data using SQL or other techniques
- Expert skills in a data visualisation package (such as PowerBI)
- Excellent communication skills, including mentoring more junior colleagues
- A keen interest and passion for learning new technologies or data skills like Python, understanding of AWS and APIs is an advantage.
**Equal Opportunities

📌 Data Analyst - Gas and Lng (Ciudad de México)
🏢 Wm De Mexico, De C.V.
📍 Ciudad de México