Data Analyst
Data Analyst
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Job Description
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 everchanging world companies and governments need reliable and actionable insight to lead the transition to a sustainable future. Thats why we cover the entire supply chain with unparalleled breadth and depth backed by over 50 years experience. Our team of over 2400 experts operating across 30 global locations are enabling customers decisions through realtime 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.
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
Data Analyst Asset Revenue Forecasting Power Dispatch Modelling and Power Markets
Role Purpose
The Data Analyst will play a key role in advancing forecasting and modelling efforts by managing analysing and optimising large datasets across renewable conventional and storage assets globally. Working on asset revenue forecasting power dispatch modelling or power markets data the analyst will focus on automating workflows ensuring data quality and delivering actionable insights through close collaboration with research engineering and product teams. This role contributes directly to improving forecasting accuracy and enhancing the companys global asset performance and revenue strategies.
Responsibilities
Knowledge
- Structures poorly defined problems gathers feedback and solves them effectively.
- Defines hypotheses and appropriate analysis approaches.
- Ensures statistical validity of results while avoiding common pitfalls.
- Develops deep technical expertise and emerging domain knowledge in forecasting or dispatch modelling.
- Provides specialist skills in data analysis visualisation and data management.
- Fully understands the technical data landscape within the energy domain.
- Maintains a growth mindset continually evolving their skills.
Impact
- Performs defined and repeatable tasks with limited guidance.
- Independently formulates new analyses and project components.
- Carries out independent analysis on specific areas of forecasting or modelling projects.
- Delivers highquality outputs on time recognised for accuracy and reliability.
- Demonstrates strong proficiency in SQL or Python for data handling.
Collaboration
- Supports data governance and quality assurance activities.
- Engages directly with stakeholders building confidence in datadriven outcomes.
- Works closely with peers in Research Product Data Data Engineering and other business functions.
Innovation
- Identifies opportunities for efficiency optimisation or new data creation within their focus area.
- Uses technical and domain knowledge to create new value and insights.
Specialisms
General
- Owns and manages data within their role or team focus.
- Leverages specialist toolsets or domain expertise for data analysis and decisionmaking.
Data Modelling
- Applies best practices in data modelling to support use cases.
- Translates data requirements into effective data structures.
- Collaborates with engineers to enhance data modelling capabilities for largescale datasets.
Key Expectations
Experience & Qualifications
- Bachelors degree in Data Science Computer Science Mathematics or a related field.
- 24 years of experience in data analysis including handling large complex datasets.
- Advanced SQL skills for querying and managing relational databases.
- Familiarity with data visualisation tools (e.g. Sisense Power BI Streamlit).
Technical Skills
- Experience with ETL processes and APIs for data integration.
- Understanding of statistical methods and data modelling techniques.
- Familiarity with cloud platforms like Snowflake is advantageous.
- Knowledge of Python is a plus.
- Knowledge of data governance frameworks and data security protocols.
Soft Skills
- Exceptional attention to detail and problemsolving capabilities.
- Strong communication skills able to translate complex insights for nontechnical stakeholders.
- Collaborative mindset with a commitment to continuous learning and staying updated on energy sector trends.
#LIMS1
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
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.
Required Experience:
IC
Employment Type
Full-Time
