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 global 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.<a href="https://www.woodmac.com/">WoodMac.com</a><a href="https://www.youtube.com/watch?v=Y4AVwhQJj_w&amp;t=10s">Wood Mackenzie Brand Video</a>Wood Mackenzie Values<ul><li>Inclusive – we succeed together</li><li>Trusting – we choose to trust each other</li><li>Customer committed – we put customers at the heart of our decisions</li><li>Future Focused – we accelerate change</li><li>Curious – we turn knowledge into action</li></ul>Role PurposeDo you have a passion for Data? Are you a Problem-Solver with an ability to quickly understand complex processes?  Then this role could be for you. We are looking for a Data Associate to join our Metals &amp; Mining Data team.This role will focus on the analysis, programmatic acquisition, and preparation of data for delivery to our customers and research teams.We are looking for someone with a focus on ensuring end to end data processes to deliver the Product.The successful candidate for this role must have a strong Data background and understand the challenges of building a modern data centric business with a commitment to incremental delivery. Proven experience of data transformation projects, and the ability to articulate ideas effectively across all business areas is essential. Job Overview: We are actively seeking a versatile and proactive Data Associate with at least 3-4 year experience with focus on application maintenance, operationalization, and providing support to users for bespoke data extracts and analysis. In this role, you will be instrumental in ensuring the seamless operation of our applications, monitoring daily jobs, and assisting users in extracting and analyzing custom data sets.Key Responsibilities:Application Maintenance:<ul><li>Conduct routine checks and maintenance activities to guarantee the reliability and optimal performance of applications.</li><li>Collaborate with development teams to implement patches, updates, and enhancements to improve application functionality.</li><li>Identify and escalate issues and document resolutions for faster troubleshooting.</li></ul>Operationalization:<ul><li>Work closely with cross-functional teams to operationalize systems, ensuring seamless integration into the production environment.</li><li>Develop and implement procedures for efficient system operation and maintenance.</li></ul>Daily Jobs Monitoring:<ul><li>Monitor and manage daily batch jobs and data loads (including daily, weekly, and quarterly schedules), promptly addressing issues related to job failures, delays, or deviations from expected outcomes.</li><li>Ensure the successful completion and validation of data loads across multiple frequencies, maintaining data accuracy and integrity.</li><li>Implement proactive measures to anticipate and prevent potential operational challenges.</li><li>Prepare daily/weekly status reports on job execution and highlight anomalies for quick resolution.</li></ul>User Support - Data Extracts and Analysis:<ul><li>Assist users in extracting bespoke data sets, providing guidance on data formats, and ensuring data integrity.</li><li>Collaborate with users to understand their analysis requirements and provide support in utilizing tools for effective data analysis.</li><li>Work on ad-hoc data requests and maintain a repository of commonly used queries/reports for reuse.</li></ul>Incident Response:<ul><li>Respond promptly to incidents affecting application availability and performance.</li><li>Diagnose and troubleshoot technical issues related to data extraction and analysis, collaborating with teams to implement corrective actions</li><li>Log incidents systematically, track progress, and ensure timely closure with effective coordination.</li></ul>Collaboration &amp; BAU Support<ul><li>Work closely with the wider Data team, Data Engineering, Research, and Product teams to ensure smooth business-as-usual (BAU) operations.</li><li>Provide daily support and communication across functions to resolve issues, share updates, and align on priorities.</li><li>Foster strong partnerships with stakeholders to ensure data reliability, timely delivery, and continuous improvement of processes.</li><li>Act as first-level support to reduce dependency on other team members for routine issues.</li></ul>Documentation:<ul><li>Maintain accurate and up-to-date documentation for operational procedures, configurations, and user support processes.</li><li>Contribute to the development and enhancement of a comprehensive knowledge base.</li><li>Ensure all resolutions, queries, and new learnings are logged in documentation for team-wide benefit.</li></ul>Automation:<ul><li>Identify opportunities for automation to streamline operational tasks, data extraction processes, and improve efficiency.</li><li>Implement automation scripts or tools to simplify routine maintenance and monitoring activities</li></ul>AI Enablement<ul><li>Explore opportunities to leverage AI and machine learning tools to enhance data quality, streamline extraction processes, and improve analysis capabilities.</li><li>Support the integration of AI-driven solutions into existing workflows, collaborating with data engineers and analysts to test, validate, and optimize models.</li><li>Stay informed on emerging AI tools relevant to data operations and provide recommendations for adoption.</li><li>Assist in preparing datasets for AI/ML initiatives and monitoring model outputs for accuracy.</li></ul>Continuous Improvement<ul><li>Actively identify inefficiencies, bottlenecks, or pain points in current processes and propose actionable solutions.</li><li>Share innovative ideas and collaborate with team members to implement process improvements that enhance productivity, data accuracy, and overall service quality.</li><li>Contribute to fostering a culture of continuous learning and improvement within the team</li><li>Participate in team retrospectives, contribute feedback, and implement improvement action items.</li></ul>Qualifications:<ul><li>Bachelor's degree in Computer Science, Information Technology, or a related field.</li><li>Proven experience in application maintenance, operational support, and user support for data extracts and analysis.</li><li>Strong understanding of system architecture, configuration, and integration.</li><li>Expert level knowledge in Python, SQL, VBA and strong understanding of AWS </li><li>Familiarity with data architecture, design patterns and stream processing technologies </li><li>Experience with monitoring tools, incident management systems, and data analysis tools.</li><li>Excellent problem-solving skills, attention to detail, proactive in identifying issues and proposing solutions, multitasker, proactive mindset, anticipating challenges and addressing them effectively.</li><li>Communicate clearly with stakeholders, providing timely status updates, raising issues and concerns quickly, and suggesting solutions.</li><li>Show adaptability and responsiveness in a fast-paced environment with evolving priorities.</li><li>Collaborate effectively within and across teams, building trust and strong working relationships.</li><li>Ability to quickly learn and adapt to new tools, processes, and technologies under guidance.</li><li>Willingness to handle routine operational tasks while growing into more advanced responsibilities.</li></ul>If you are a proactive and versatile Support Engineer with a passion for ensuring both application stability and providing exceptional support for bespoke data extracts and analysis, we encourage you to apply for this exciting opportunity.  Expectations<ul><li>We are a hybrid working company and the successful applicant will be expected to be physically present in the office at least 2 days per week to foster and contribute to a collaborative environment, but this may be subject to change in the future.</li><li>The nature of this role precludes it from consideration for part-time or flexible working arrangements</li><li>Due to the global nature of the team, a degree of flexible working will be required to accommodate different time zones.</li></ul>Wood Mackenzie Values<ul><li>Inclusive – we succeed together</li><li>Trusting – we choose to trust each other</li><li>Customer committed – we put customers at the heart of our decisions</li><li>Future Focused – we accelerate change</li><li>Curious – we turn knowledge into action</li></ul>Equal OpportunitiesWe are an equal opportunities employer. This means we are committed to recruiting the best people regardless of their race, colour, religion, age, sex, national origin, disability or protected veteran status. You can find out more about your rights under the law at <a href="http://www.eeoc.gov/">www.eeoc.gov</a> If you are applying for a role and have a physical or mental disability, we will support you with your application or through the hiring process.

In the middle of the energy transition, businesses and governments are faced with significant challenges. But the pace and scale of change mean every decision is made&nbsp;under mounting pressure.&nbsp; Now, more than ever, companies need reliable data, analytics and actionable insight. Wood Mackenzie is the&nbsp;leading global provider of data and analytics solutions&nbsp;for the renewables, energy and natural resources sectors . Wood Mackenzie&rsquo;s services&nbsp;include data, analytics, insight, events and consultancy.&nbsp; A trusted partner for over 50 years, Wood Mackenzie&rsquo;s team has over 2,300 experts across more than 30 global&nbsp;locations who cover the entire supply chain. Wood Mackenzie&rsquo;s data and analytics empowers energy producers, governments and financial institutions to be confident in&nbsp;their investment decisions in the face of rapidly evolving markets. Part of the Veritas group.

Data Associate

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 global 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.<a href="https://www.woodmac.com/">WoodMac.com</a><a href="https://www.youtube.com/watch?v=Y4AVwhQJj_w&amp;t=10s">Wood Mackenzie Brand Video</a>Wood Mackenzie Values<ul><li>Inclusive – we succeed together</li><li>Trusting – we choose to trust each other</li><li>Customer committed – we put customers at the heart of our decisions</li><li>Future Focused – we accelerate change</li><li>Curious – we turn knowledge into action</li></ul>Role PurposeDo you have a passion for Data? Are you a Problem-Solver with an ability to quickly understand complex processes?  Then this role could be for you. We are looking for a Data Associate to join our Metals &amp; Mining Data team.This role will focus on the analysis, programmatic acquisition, and preparation of data for delivery to our customers and research teams.We are looking for someone with a focus on ensuring end to end data processes to deliver the Product.The successful candidate for this role must have a strong Data background and understand the challenges of building a modern data centric business with a commitment to incremental delivery. Proven experience of data transformation projects, and the ability to articulate ideas effectively across all business areas is essential.&nbsp;Job Overview: We are actively seeking a versatile and proactive Data Associate with at least 3-4 year experience with focus on application maintenance, operationalization, and providing support to users for bespoke data extracts and analysis. In this role, you will be instrumental in ensuring the seamless operation of our applications, monitoring daily jobs, and assisting users in extracting and analyzing custom data sets.Key Responsibilities:Application Maintenance:<ul><li>Conduct routine checks and maintenance activities to guarantee the reliability and optimal performance of applications.</li><li>Collaborate with development teams to implement patches, updates, and enhancements to improve application functionality.</li><li>Identify and escalate issues and document resolutions for faster troubleshooting.</li></ul>Operationalization:<ul><li>Work closely with cross-functional teams to operationalize systems, ensuring seamless integration into the production environment.</li><li>Develop and implement procedures for efficient system operation and maintenance.</li></ul>Daily Jobs Monitoring:<ul><li>Monitor and manage daily batch jobs and data loads (including daily, weekly, and quarterly schedules), promptly addressing issues related to job failures, delays, or deviations from expected outcomes.</li><li>Ensure the successful completion and validation of data loads across multiple frequencies, maintaining data accuracy and integrity.</li><li>Implement proactive measures to anticipate and prevent potential operational challenges.</li><li>Prepare daily/weekly status reports on job execution and highlight anomalies for quick resolution.</li></ul>User Support - Data Extracts and Analysis:<ul><li>Assist users in extracting bespoke data sets, providing guidance on data formats, and ensuring data integrity.</li><li>Collaborate with users to understand their analysis requirements and provide support in utilizing tools for effective data analysis.</li><li>Work on ad-hoc data requests and maintain a repository of commonly used queries/reports for reuse.</li></ul>Incident Response:<ul><li>Respond promptly to incidents affecting application availability and performance.</li><li>Diagnose and troubleshoot technical issues related to data extraction and analysis, collaborating with teams to implement corrective actions</li><li>Log incidents systematically, track progress, and ensure timely closure with effective coordination.</li></ul>Collaboration &amp; BAU Support<ul><li>Work closely with the wider Data team, Data Engineering, Research, and Product teams to ensure smooth business-as-usual (BAU) operations.</li><li>Provide daily support and communication across functions to resolve issues, share updates, and align on priorities.</li><li>Foster strong partnerships with stakeholders to ensure data reliability, timely delivery, and continuous improvement of processes.</li><li>Act as first-level support to reduce dependency on other team members for routine issues.</li></ul>Documentation:<ul><li>Maintain accurate and up-to-date documentation for operational procedures, configurations, and user support processes.</li><li>Contribute to the development and enhancement of a comprehensive knowledge base.</li><li>Ensure all resolutions, queries, and new learnings are logged in documentation for team-wide benefit.</li></ul>Automation:<ul><li>Identify opportunities for automation to streamline operational tasks, data extraction processes, and improve efficiency.</li><li>Implement automation scripts or tools to simplify routine maintenance and monitoring activities</li></ul>AI Enablement<ul><li>Explore opportunities to leverage AI and machine learning tools to enhance data quality, streamline extraction processes, and improve analysis capabilities.</li><li>Support the integration of AI-driven solutions into existing workflows, collaborating with data engineers and analysts to test, validate, and optimize models.</li><li>Stay informed on emerging AI tools relevant to data operations and provide recommendations for adoption.</li><li>Assist in preparing datasets for AI/ML initiatives and monitoring model outputs for accuracy.</li></ul>Continuous Improvement<ul><li>Actively identify inefficiencies, bottlenecks, or pain points in current processes and propose actionable solutions.</li><li>Share innovative ideas and collaborate with team members to implement process improvements that enhance productivity, data accuracy, and overall service quality.</li><li>Contribute to fostering a culture of continuous learning and improvement within the team</li><li>Participate in team retrospectives, contribute feedback, and implement improvement action items.</li></ul>Qualifications:<ul><li>Bachelor's degree in Computer Science, Information Technology, or a related field.</li><li>Proven experience in application maintenance, operational support, and user support for data extracts and analysis.</li><li>Strong understanding of system architecture, configuration, and integration.</li><li>Expert level knowledge in Python, SQL, VBA and strong understanding of AWS&nbsp;</li><li>Familiarity with data architecture, design patterns and stream processing technologies&nbsp;</li><li>Experience with monitoring tools, incident management systems, and data analysis tools.</li><li>Excellent problem-solving skills, attention to detail, proactive in identifying issues and proposing solutions, multitasker, proactive mindset, anticipating challenges and addressing them effectively.</li><li>Communicate clearly with stakeholders, providing timely status updates, raising issues and concerns quickly, and suggesting solutions.</li><li>Show adaptability and responsiveness in a fast-paced environment with evolving priorities.</li><li>Collaborate effectively within and across teams, building trust and strong working relationships.</li><li>Ability to quickly learn and adapt to new tools, processes, and technologies under guidance.</li><li>Willingness to handle routine operational tasks while growing into more advanced responsibilities.</li></ul>If you are a proactive and versatile Support Engineer with a passion for ensuring both application stability and providing exceptional support for bespoke data extracts and analysis, we encourage you to apply for this exciting opportunity. &nbsp;Expectations<ul><li>We are a hybrid working company and the successful applicant will be expected to be physically present in the office at least 2 days per week to foster and contribute to a collaborative environment, but this may be subject to change in the future.</li><li>The nature of this role precludes it from consideration for part-time or flexible working arrangements</li><li>Due to the global nature of the team, a degree of flexible working will be required to accommodate different time zones.</li></ul>Wood Mackenzie Values<ul><li>Inclusive – we succeed together</li><li>Trusting – we choose to trust each other</li><li>Customer committed – we put customers at the heart of our decisions</li><li>Future Focused – we accelerate change</li><li>Curious – we turn knowledge into action</li></ul>Equal OpportunitiesWe are an equal opportunities employer. This means we are committed to recruiting the best people regardless of their race, colour, religion, age, sex, national origin, disability or protected veteran status. You can find out more about your rights under the law at <a href="http://www.eeoc.gov/">www.eeoc.gov</a>&nbsp;If you are applying for a role and have a physical or mental disability, we will support you with your application or through the hiring process.&nbsp;&nbsp;

Data Associate

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Wood Mackenzie

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