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 Purpose:The Data Associate will support the development, management, and analysis of datasets to drive business decisions and insights. This role is ideal for an early-career professional seeking to build foundational skills in data analysis, governance, and quality assurance. Working under clear guidance, the Data Associate will execute tactical tasks, support exploratory data analysis, and contribute to improving workflows and data processes.<div></div>Responsibilities:Knowledge<ul><li>Performs defined tactical tasks with clear guidance to manage data effectively.</li><li>Clarifies outcomes, goals, and hypotheses to ensure alignment with objectives.</li><li>Demonstrates foundational skills in core data practices, including:<ul><li>Visualisation techniques for exploratory data analysis (with assistance).</li><li>Scripting language proficiency and data-gathering methods.</li><li>SQL querying to retrieve and manipulate data.</li></ul></li><li>Tackles defined problems, seeks feedback, clarifies approaches, and delivers solutions.</li><li>Maintains a growth mindset, continually developing technical and analytical skills.</li></ul>Impact<ul><li>Meets clear expectations for quality and timely delivery of tasks.</li><li>Develops core skills to interpret data from diverse sources using SQL, Excel, or Python.</li><li>Builds effective working relationships with peers and stakeholders.</li><li>Actively participates in learning and development opportunities, demonstrating a commitment to growth.</li><li>Proactively seeks feedback, speaks up in meetings, and experiments with new techniques.</li></ul>Collaboration<ul><li>Works closely with data teams to ensure accurate task completion.</li><li>Supports data governance and quality assurance initiatives.</li><li>Collaborates with Research, Product, Data Owners, Data Engineering, and core business functions.</li><li>Maps stakeholders, dependencies, and communication channels clearly.</li><li>Contributes to fostering a rich culture of inclusion and diversity within the team.</li></ul>Innovation<ul><li>Identifies opportunities to improve workflows using personal skills or team resources.</li><li>Continuously improves technical skills and seeks feedback to enhance expertise.</li></ul><div></div>Specialisms<ul><li>Problem Solving: Develops structured approaches to solving defined problems.</li><li>Data Handling and Analysis: Gains proficiency in managing, cleaning, and analysing datasets.</li></ul><div></div>Key Expectations:Experience &amp; Qualifications<ul><li>Bachelor’s degree in a relevant field or equivalent experience.</li><li>Basic understanding of data analysis principles and workflows.</li><li>Foundational proficiency in SQL and at least one scripting language (e.g., Python).</li><li>Familiarity with visualisation tools or techniques for exploratory data analysis.</li><li>Familiarity with Snowflake advantageous.</li></ul>Technical Skills<ul><li>Ability to perform basic data manipulation and querying.</li><li>Exposure to data governance and quality assurance activities is a plus.</li><li>Interest in developing skills in ETL processes and database management.</li></ul>Soft Skills<ul><li>Detail-oriented with a proactive approach to seeking feedback and assistance.</li><li>Strong communication skills, eager to collaborate across teams.</li><li>Enthusiastic about learning and contributing to team goals.</li></ul>#LI-DB1Equal 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 Purpose:The Data Associate will support the development, management, and analysis of datasets to drive business decisions and insights. This role is ideal for an early-career professional seeking to build foundational skills in data analysis, governance, and quality assurance. Working under clear guidance, the Data Associate will execute tactical tasks, support exploratory data analysis, and contribute to improving workflows and data processes.<div></div>Responsibilities:Knowledge<ul><li>Performs defined tactical tasks with clear guidance to manage data effectively.</li><li>Clarifies outcomes, goals, and hypotheses to ensure alignment with objectives.</li><li>Demonstrates foundational skills in core data practices, including:<ul><li>Visualisation techniques for exploratory data analysis (with assistance).</li><li>Scripting language proficiency and data-gathering methods.</li><li>SQL querying to retrieve and manipulate data.</li></ul></li><li>Tackles defined problems, seeks feedback, clarifies approaches, and delivers solutions.</li><li>Maintains a growth mindset, continually developing technical and analytical skills.</li></ul>Impact<ul><li>Meets clear expectations for quality and timely delivery of tasks.</li><li>Develops core skills to interpret data from diverse sources using SQL, Excel, or Python.</li><li>Builds effective working relationships with peers and stakeholders.</li><li>Actively participates in learning and development opportunities, demonstrating a commitment to growth.</li><li>Proactively seeks feedback, speaks up in meetings, and experiments with new techniques.</li></ul>Collaboration<ul><li>Works closely with data teams to ensure accurate task completion.</li><li>Supports data governance and quality assurance initiatives.</li><li>Collaborates with Research, Product, Data Owners, Data Engineering, and core business functions.</li><li>Maps stakeholders, dependencies, and communication channels clearly.</li><li>Contributes to fostering a rich culture of inclusion and diversity within the team.</li></ul>Innovation<ul><li>Identifies opportunities to improve workflows using personal skills or team resources.</li><li>Continuously improves technical skills and seeks feedback to enhance expertise.</li></ul><div></div>Specialisms<ul><li>Problem Solving: Develops structured approaches to solving defined problems.</li><li>Data Handling and Analysis: Gains proficiency in managing, cleaning, and analysing datasets.</li></ul><div></div>Key Expectations:Experience &amp; Qualifications<ul><li>Bachelor’s degree in a relevant field or equivalent experience.</li><li>Basic understanding of data analysis principles and workflows.</li><li>Foundational proficiency in SQL and at least one scripting language (e.g., Python).</li><li>Familiarity with visualisation tools or techniques for exploratory data analysis.</li><li>Familiarity with Snowflake advantageous.</li></ul>Technical Skills<ul><li>Ability to perform basic data manipulation and querying.</li><li>Exposure to data governance and quality assurance activities is a plus.</li><li>Interest in developing skills in ETL processes and database management.</li></ul>Soft Skills<ul><li>Detail-oriented with a proactive approach to seeking feedback and assistance.</li><li>Strong communication skills, eager to collaborate across teams.</li><li>Enthusiastic about learning and contributing to team goals.</li></ul>#LI-DB1Equal 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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