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.
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Wood Mackenzie Values
- Inclusive – we succeed together
- Trusting – we choose to trust each other
- Customer committed – we put customers at the heart of our decisions
- Future Focused – we accelerate change
- Curious – we turn knowledge into action
This role will be working within our Power and Renewable Analytics group and focus on the research, development and delivery of modelling and analytical solutions within our products. You'll collaborate closely with a cross-functional team of analysts, data scientists, software engineers, data engineers and product managers that deliver our product roadmap. You'll apply advanced analytical techniques and ensure high standards of data quality and integrity in our solutions.
The successful candidate for this role must have a strong data analytics background and understand the challenges of delivering data products with a commitment to incremental delivery. Proven experience of data analytics projects, and the ability to articulate ideas effectively across multiple business areas is essential.
As one of our Senior Data Analysts you will:
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Use advanced analytical capabilities to develop innovative solutions for complex business problems
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Work with our product team to understand the problems our customers face, help design solutions to solve them and ensure alignment with our strategic objectives
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Apply appropriate data engineering, data mining and statistical concepts to develop data products from proof of concept to production
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Write maintainable, testable, and optimised code – and help junior team members do the same
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Collaborate with teams deploying solutions within their product area and identify feedback that will improve the platform
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Ensure the high-quality implementation and delivery of our roadmap
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Devise effective, iterative validation and tests to improve model performance
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Be supported to grow and develop your skills whilst coaching junior colleagues
You're a great fit for this role if:
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You have an advanced degree in statistics, computer science, applied mathematics, or a related field
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You have strong knowledge of advanced applied data science: mathematical, computational, statistical modelling techniques, neural networks, data analysis and visualization
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You are able to apply statistical concepts to solve real world problems
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You have experience of modelling power supply/demand fundamentals and an understanding of power market mechanisms in one of our core regions (North America, Europe, APAC)
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You thrive when you are part of a high performing team and are eager to contribute to collaborative projects
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You can effectively communicate complex technical concepts to technical and non-technical stakeholders
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You maintain a focus on data quality, integrity, and ensuring reliable and accurate model outputs
Our tech stack
We use a wide variety of tools and technologies across our products, for this role we're looking for:
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Solid skills in using Python to perform EDA and solve regression, forecasting, classification and other analytical problems
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Confident user of data visualization or BI tools such as PowerBi to validate data and inform decision making
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Experience with data pre-processing, data wrangling, and data augmentation techniques
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Knowledge of SQL and NoSQL databases, data modelling, and database querying.
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Ability to work with and collaborate in Jira using agile development best practices
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Proficiency in using cloud platforms like AWS, Google Cloud, or Azure for deploying scalable AI solutions
Additional beneficial skills might include:
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Understanding of big data technologies (e.g. Spark, Hadoop)
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Familiarity with ML-adjacent technologies like AWS Sagemaker and Apache Airflow
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Understanding of MLOps practices, model deployment, and monitoring in production environments. Experience with Docker, Kubernetes, and CI/CD pipelines
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Equal Opportunities
We 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 www.eeoc.gov
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.
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What We Do
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 under mounting pressure. Now, more than ever, companies need reliable data, analytics and actionable insight.
Wood Mackenzie is the leading global provider of data and analytics solutions for the renewables, energy and natural resources sectors . Wood Mackenzie’s services include data, analytics, insight, events and consultancy. A trusted partner for over 50 years, Wood Mackenzie’s team has over 2,300 experts across more than 30 global locations who cover the entire supply chain. Wood Mackenzie’s data and analytics empowers energy producers, governments and financial institutions to be confident in their investment decisions in the face of rapidly evolving markets. Part of the Veritas group.
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