Wood Mackenzie, a leader in analytics and insights for the energy and natural resources sector, is seeking a Data Analyst to enhance their Lower 48 oil and gas research team. The role requires strong technical skills in data engineering, particularly with PySpark and Python, along with experience in cloud technologies
Job Summary
We are seeking a highly motivated Data Analyst to support our expanding Lower 48 oil and gas research and analytics team.
This role involves data pipeline development, ETL processing, data quality assurance, and direct support for analysts and researchers.
Drive automation and process optimization, including leveraging AI tools and frameworks to improve analyst workflows.
Matching Summary
Match Score: 85
Wood Mackenzie, a leader in analytics and insights for the energy and natural resources sector, is seeking a Data Analyst to enhance their Lower 48 oil and gas research team. The role requires strong technical skills in data engineering, particularly with PySpark and Python, along with experience in cloud technologies.
Skills & Requirements
Must-have
PySpark and Python programming
AWS cloud technologies
large, complex datasets
ETL processing
data pipeline development
Nice-to-have
Lower 48 oil & gas datasets
hybrid environments
AI-driven tools
legacy code analysis
collaborative team player
Key Requirements
Experience in data analysis, data engineering, or data development
Strong programming skills in PySpark and Python
Experience with AWS or other cloud platforms
Ability to work with large, complex datasets
Strong analytical, troubleshooting, and problem-solving skills