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>Job DescriptionThis role is part of the Oils and Chemicals Data Team and will work closely with our Research, Data and Product functions. The data team builds, enhances, and maintains the data that underpins Wood Mackenzie’s unique understanding of the energy and natural resources sectors. Data is the key driver behind Wood Mackenzie’s mission to transform the way we power the planet, and the role will be working on challenges around data management, pipelines, analysis, and data quality.The role will be called on to implement processes that monitor data quality, and devise means to resolve identified issues. Strong technical skills will be required to support this work, as you’ll be responsible for production processes that directly impact our users. Main Responsibilities<ul><li>Form a strong understanding of the data landscape, domain and workflows for oils and chemicals, customers, and products</li><li>Core user of oils and chemicals data and ensures best practices are applied to utilize or maintain databases, tools, models, and processes solutions from data sourcing to client delivery</li><li>Provide specialist skills in data analysis, visualization, and data management, delivering new analytics through connected datasets and integrated pipelines</li><li>Advocate for quality, take responsibility for the ownership of data and fulfil complex data requests on time and with high standards</li><li>Identify, prioritize, and document opportunities for efficiency, optimization, migration or improvement in our systems, processes, and datasets</li><li>Collaborate with colleagues in Research, Data, Product and Engineering to deliver Data Assets while supporting junior colleagues</li></ul><ul><li>Lead high-priority projects and initiatives aimed at improving data quality or processes, ensuring alignment with the broader data vision</li><li>Collaborate with junior colleagues, providing training, monitoring adherence to best practices, and ensuring accurate completion of tasks</li><li>Develop relationships with key stakeholders across the wider Data team, including Data Engineers, Product, Research, and Sales</li></ul>Qualifications:<ul><li>Experience in data related roles, demonstrating customer focus and knowledge of core concepts around ingestion, cleansing, and data quality</li><li>Comfort and experience with SQL, Python, and other programming languages to traverse large data sets.</li><li>Strong skills in relational database systems</li><li>Expert skills in a data visualization package (such as PowerBI)</li><li>Strong communication skills – particularly the ability to work in a сross regional team and interact with colleagues and external contacts in multiple geographic locations</li><li>Experience developing logic, models, or algorithms to solve complex mathematical problems.</li><li>Exceptional analytical, organizational, problem solving, and time management skills with attention to detail</li><li>Proven ability to learn quickly in a fast-paced environment, to manage multiple tasks and/or projects with changing priorities and to communicate effectively at all levels</li><li>Ability to balance independent and team-based work</li><li>Creative and innovative problem-solving skills</li><li>A self-starter who takes initiative, asks questions, and is eager to learn</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 Analyst

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>Job DescriptionThis role is part of the Oils and Chemicals Data Team and will work closely with our Research, Data and Product functions. The data team builds, enhances, and maintains the data that underpins Wood Mackenzie’s unique understanding of the energy and natural resources sectors.&nbsp;Data is the key driver behind Wood Mackenzie’s mission to transform the way we power the planet, and the role will be working on challenges around data management, pipelines, analysis, and data quality.The role will be called on to implement processes that monitor data quality, and devise means to resolve identified issues. Strong technical skills will be required to support this work, as you’ll be responsible for production processes that directly impact our users. Main Responsibilities<ul><li>Form a strong understanding of the data landscape, domain and workflows for oils and chemicals, customers, and products</li><li>Core user of oils and chemicals data and ensures best practices are applied to utilize or maintain databases, tools, models, and processes solutions from data sourcing to client delivery</li><li>Provide specialist skills in data analysis, visualization, and data management, delivering new analytics through connected datasets and integrated pipelines</li><li>Advocate for quality, take responsibility for the ownership of data and fulfil complex data requests on time and with high standards</li><li>Identify, prioritize, and document opportunities for efficiency, optimization, migration or improvement in our systems, processes, and datasets</li><li>Collaborate with colleagues in Research, Data, Product and Engineering to deliver Data Assets while supporting junior colleagues</li></ul><ul><li>Lead high-priority projects and initiatives aimed at improving data quality or processes, ensuring alignment with the broader data vision</li><li>Collaborate with junior colleagues, providing training, monitoring adherence to best practices, and ensuring accurate completion of tasks</li><li>Develop relationships with key stakeholders across the wider Data team, including Data Engineers, Product, Research, and Sales</li></ul>Qualifications:<ul><li>Experience in data related roles, demonstrating customer focus and knowledge of core concepts around ingestion, cleansing, and data quality</li><li>Comfort and experience with SQL, Python, and other programming languages to traverse large data sets.</li><li>Strong skills in relational database systems</li><li>Expert skills in a data visualization package (such as PowerBI)</li><li>Strong communication skills – particularly the ability to work in a сross regional team and interact with colleagues and external contacts in multiple geographic locations</li><li>Experience developing logic, models, or algorithms to solve complex mathematical problems.</li><li>Exceptional analytical, organizational, problem solving, and time management skills with attention to detail</li><li>Proven ability to learn quickly in a fast-paced environment, to manage multiple tasks and/or projects with changing priorities and to communicate effectively at all levels</li><li>Ability to balance independent and team-based work</li><li>Creative and innovative problem-solving skills</li><li>A self-starter who takes initiative, asks questions, and is eager to learn</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 Analyst

About the Job

About the Company

Wood Mackenzie

Similar Jobs

Data Analyst

Data Analyst

Spend Data Analyst

Spend Data Analyst

Analytics Engineer

Analytics Engineer

Data Model Specialist

Data Model Specialist

Data Associate

Data Associate

Data analyst

Data analyst

Data transformation specialist

Data transformation specialist

Data Processing Specialist

Data Processing Specialist

Data Analyst

Data Analyst

Analytics Engineer

Analytics Engineer