Research Analyst Oil Supply

We are looking for an Analyst to join our Global Analyst Team within the Oil Supply Team. This role combines industry research and market analysis with technical ownership of key data modelling and automation workflows that underpin our research products. The successful candidate will be expected to:

• Analyseasset market and industry developments across the commodities and markets they cover generating short- and long-term forecasts.

• Gather validate and interpret industry data to support Wood Mackenzies market-leading research and analytical products.

• Connect and build relationships with clients and industry participants to inform analysis and strengthen market understanding.

• Collaborate with colleagues across Energy and Natural Resources to develop integrated market views and insights.

• Produce high-quality written analysis on industry developments including topics such asthe EnergyTransition oil-petrochemical integration and sustainability.

• Contribute to client-facing presentations discussions and research outputs.

During the firstsixmonths the successful candidate will focus on understandingstabilisingand improving the teams existing technical infrastructure by:

• Building a thorough understanding of the teams existing data sources databases models tools and workflows including legacy Python and VBA-based processes.

• Identifying inefficiencies manual processes and points of fragility within existing data pipelines and analytical workflows.

• Refactoring and improving legacy codebases to create cleaner more maintainable and better-documented solutions.

• Automating recurring data collection transformation and update processes to reduce manual intervention and improve reliability.

• Documenting key data flows business logic and technical processes to improve transparency and reduce key-person dependency.

Over time the role will evolve to include:

• Designing building and maintaining scalable data pipelines tools and supporting data architecture.

• Developing new functionality and services to support the Oil Supply Tool Macro Oils products and Short-Term Oil Price forecasting models.

• Working closely with analystsmodellersand data scientists to improve analytical workflows and model performance.

• Applying AI machine learning and modern data tooling to enhance data processing modelling workflows and team productivity.

• Maintaining and enhancing existing tools and systems to ensure they remain robust scalable and well-documented.

• Collaborating with colleagues across the Macro Oils team to establish data standards technology best practices and development frameworks.

• Supporting continuous improvement initiatives across research modelling and operational processes.

About You

You are an economist engineer geologist petroleum engineer data scientist or similar quantitative professional with a strong interest in commodity markets and energy systems.You combine analytical curiosity with strong technical capabilities and enjoy solving complex data and process challenges.

Essential Skills & Experience

• Strong analytical and quantitative capabilities developed through academic study and/or professional experience.

• Advanced Python skills including the ability to develop debug maintain and improve production-quality analytical code.

• Experience working with large datasets and building data-driven solutions.

• Ability to identify opportunities for automation and process improvement.

• Strong data management data quality and troubleshooting skills.

• Experience working with Excel including complex analytical models and data workflows.

• Ability to communicate technical concepts clearly to both technical and non-technical audiences.

• Excellent written and verbal English communication skills.

• Ability to work independently while collaborating effectively across geographically dispersed teams.

Desirable Skills & Experience

• Experience with machine learning AI tools and data science techniques.

• Experience with SQL relational databases and cloud-based data platforms.

• Experience maintaining or migrating legacy systems including VBA-based processes.

• Knowledge of oil markets energy markets or broader commodity sectors.

• Background in economics petroleum engineering geology energy systems data science ora relateddiscipline.

• Experience working with forecasting models or decision-support tools.

Expectations

• Growth mindset- taking the initiative to learn new skills seeking out feedback and coaching and actively applying what has been learned in the workplace.

• Change agility- maintaining high performance through disruption and change.

• We are a hybrid working company and the successful applicant will beexpected to be physically present in the office at least 2 days per weekto foster and contribute to a collaborative environment but this may be subject to change in the future.

• This is a full-time roleexpected to work early mornings to accommodate collaboration with Europe time-zones.