Search the 65 jobs at Wood Mackenzie

The retention specialist will focus on increasing retention among smaller customers by executing renewal activities and working closely with sales teams to identify upsell and cross-sell opportunities. Responsibilities include responding to customer queries, tracking contracts, analyzing feedback for retention strategies, and achieving monthly renewal targets.

The Research Associate will monitor and assess oil and gas events, conduct industry data analysis, build productivity views, produce high-quality research, and develop relationships within the sector. They will support weekly and quarterly data deliveries and ensure quality and timeliness of data sets, contributing to insightful reports for clients.

As a Principal Analyst in Europe Gas & LNG Research, you will provide world-class research and insights on the European gas market, focusing on market fundamentals, prices, contracts, and investment trends. Your role includes conducting detailed analyses, leading projects, maintaining client relations, and contributing to team development and growth.

The Research Analyst will support the development and operation of energy storage supply chain models by collecting qualitative and quantitative data, monitoring trends, maintaining datasets, assisting in market research, and collaborating with teams to ensure data integrity.

The Manager of Technical Sales for Power & Renewables will develop deep expertise in powering renewables solutions, work closely with sales and product teams to foster client relationships, identify business opportunities, and drive customer retention and engagement strategies.

As a Software Engineer at Wood Mackenzie, you will be part of an Agile team responsible for developing and integrating various applications. Your duties will include ensuring code quality through testing and documentation, troubleshooting existing systems, and promoting best practices in software architecture.

The Brand Campaign Marketing Manager will develop and implement strategies for multi-channel brand marketing campaigns, enhance brand awareness, collaborate with stakeholders, and manage budgets while analyzing campaign performance. The role requires creativity and the ability to handle multiple projects in a fast-paced environment.

The Data Analyst will work with cross-functional teams to manage the collection and analysis of renewable and energy transition data. Responsibilities include liaising between product owners and developers, executing data management tasks, quality control of data sets, and responding to client queries.

As a Senior Manager - Data, you will lead the implementation of data governance projects, define system requirements, develop standards for data management, and ensure adherence to governance processes. Collaborating with various teams, you will enhance data management capabilities and support team development.

The Senior Research Analyst for Oil Refining at Wood Mackenzie will analyze oil refining assets and product markets, presenting insights and strategies to clients while contributing to methodology improvements and collaborating across teams to enhance research outputs.

The Senior Research Analyst will deliver high-quality gas market analysis, develop forecasts, and collaborate with teams to publish reports for clients. The role requires expertise in North American gas markets and the use of proprietary forecasting models.

The Data Analyst will manage, analyze, and optimize large datasets across renewable and conventional energy sectors. Responsibilities include automating workflows, ensuring data quality, and delivering actionable insights through collaboration with various teams to enhance forecasting accuracy and asset performance.

The Senior Marketing Manager for Power & Renewables is responsible for developing and executing the marketing strategy and campaigns for global and APAC markets. This role includes collaboration with product marketing, analysis of campaign performance, management of budget and ROI, and alignment with leadership on growth priorities, ensuring customer-centric marketing initiatives.

The Lead Specialist in Marketing will provide analytics and insights to help the marketing team make data-driven decisions. Responsibilities include maximizing the use of data, supporting campaign performance analysis, conducting gap analysis for revenue opportunities, and collaborating with other teams to optimize data collection and analysis processes.

The Data Analyst in the Carbon Management Data team focuses on managing Carbon Markets datasets, ensuring data quality, and collaborating with teams across the business. Responsibilities include data analysis, geospatial mapping using GIS, and participating in projects to improve data processes. The role also involves mentoring junior colleagues and utilizing automation where possible to enhance workflow efficiency.

The Data Associate will support the development of costs, emissions, and data models for the low-carbon hydrogen market. Responsibilities include writing code for models, maintaining existing code, documenting methodologies, preparing datasets, and collaborating with cross-functional teams.

The Research Analyst will assist in developing and operating models, databases, and reports for the North America Power Service. Responsibilities include collecting market information, analyzing data for insights, and building models for market forecasts, while providing client service and maintaining relationships with stakeholders.

As a Senior Research Analyst, you will analyze oil product and biofuel markets, contribute to forecasting methodologies, present insights to clients, and provide expert input for consulting projects. You will collaborate with internal teams to ensure accurate and high-quality analysis while supporting the growth of the client base.

The Data Analyst will focus on understanding data landscapes and workflows while providing expertise in data analysis, visualization, and management. They will handle complex data requests, ensure data quality, advocate for system improvements, collaborate across teams, and mentor junior colleagues.

The Principal Data Scientist will lead the implementation of AI solutions, focusing on generative AI to address complex business problems. Responsibilities include mentoring others, developing predictive models, ensuring data quality, and collaborating on product innovations to deliver value to customers.