Refinery Intelligence Analyst

Wood Mackenzie; City of Edinburgh; Hybrid; GBP 42,000 - 64,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Wood Mackenzie, a global leader in analytics and data for energy and natural resources, seeks an Associate for the refinery monitoring research team. You will analyze real-time refinery data, train ML models for asset predictions, and generate insights for traders and clients through high-frequency datasets.

This role offers hybrid work and opportunities to influence short-term energy markets. You will work in a fast-paced, collaborative environment with a focus on continuous improvement and

Qualifications

• Engineer or economist degree with relevant knowledge and ability to contribute from day one.
• Analytical mindset and attention to detail with data interpretation skills.
• Excellent communication skills in English, both written and spoken.
• Able to collaborate across teams and work independently when needed.

Responsibilities

• Review real-time infrared images to monitor oil refineries and petrochemical facilities across the globe.
• Train machine learning models to improve asset on/off predictions.
• Query large datasets to proactively generate insights or respond to client queries.
• Support efforts to improve internal processes and workflows.
• Collaborate with colleagues to form an integrated view of short-term markets.

Skills

Analytical mindset

Attention to detail

Communication skills

Team player

English proficiency

Education

Engineer or economist degree

Tools

Excel

PowerPoint

Job description

Wood Mackenzie, a global leader in analytics and data for energy and natural resources, seeks an Associate for the refinery monitoring research team. You will analyze real-time refinery data, train ML models for asset predictions, and generate insights for traders and clients through high-frequency datasets.

This role offers hybrid work and opportunities to influence short-term energy markets. You will work in a fast-paced, collaborative environment with a focus on continuous improvement and