- Location
- CN-Beijing-Office, China
- Workplace
- Hybrid
- Type
- Full-time
- Seniority
- Senior
- Source
- Workday
Description
Wood Mackenzie is the global leader in analytics, insights and proprietary data across the entire energy and natural resources landscape.
For over 50 years our work has guided the decisions of the world’s most influential energy producers, utilities companies, financial institutions and governments.
Now, with the world’s energy system more complex and interconnected than ever before, sector-specific views are no longer enough. That’s why we’ve redefined what’s possible with Intelligence Connected.
By fusing our unparalleled proprietary data with the sharpest analytical minds, all supercharged by Synoptic AI, we deliver a clear, interconnected view of the entire value chain. Our trusted team of 2,700 experts across 30 countries breaks siloes and connects industries, markets and regions across the globe.
This empowers our customers to identify risk sooner, spot opportunities faster and recalibrate strategy with confidence – whether planning days, weeks, months or decades ahead.
Wood Mackenzie
Intelligence Connected
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
Location: Beijing, China Company: Wood Mackenzie
The Role
We are hiring a senior analyst to support China power and renewables research. This role is designed for candidates who are strong in data analytics, power modelling, and market analysis, and who can convert structured or unstructured inputs into clear, evidence-based market insights.
The Team
You will work with Wood Mackenzie’s Power & Renewables research team across APAC and global markets. The team combines market intelligence, long-term modelling, and structured research workflows to support high-quality insight generation.
Key Responsibilities
Work with local research team to maintain core market datasets and conduct power market analysis for the China market.
Build and update structured research databases (policy, projects, company updates, and source tracking) with clear verification status and source traceability.
Monitor key developments in policy, market rules, project pipeline, and company disclosures; organise information into reusable research inputs.
Support production of high-quality, forward-looking insights by preparing accurate and well-structured evidence packs.
Maintain and run the China long-term power market forecast model in Aurora.
Perform data QA checks, resolve inconsistencies, and improve data reliability across recurring workflows.
Support cross-team requests by delivering well-documented charts, tables, and summary materials.
#LI-HH1
What We’re Looking For
5-7 years of relevant experience in energy research, market analysis, data operations, or similar analytical roles.
Good understanding of China’s power and renewables market fundamentals
Familiarity with long-term forecasting workflows and scenario analysis.
Experience supporting insight-focused research outputs in a team environment.
Strong discipline in attention to detail, data accuracy, and structured working style.
High standards for quality control, with the ability to validate and reconcile information from multiple sources.
Strong Excel skills; comfort working with structured datasets and repeatable templates.
Detail-oriented and methodical
Accuracy-first mindset
Strong attention to detail
Reliable execution and ownership
Curious, proactive learner
Core Traits for Success
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.
