Research Analyst - Large Loads; Data Centers and Industrial Demand

Position: Research Analyst - Large Loads (Data Centers and Industrial Demand)
# Research Analyst - Large Loads (Data Centers and Industrial Demand)
Onsite |Mid Level|Full Time Posted:
Yesterday#### Company Location Boston, US, United States of America#### Remote Work Policy Onsite#### Skills Python 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 Brand Video
**** 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
** Job Description*
* * We are looking for a
** Research Analyst
** to join Wood Mackenzie’s Power & Renewables group, reporting to a Principal Analyst on the team. The P&R team consists of leading analysts covering some of the most cutting-edge topics in the energy transition, including data centres, electrification, microgrids, and utility modernization. Our research and thought leadership inform the strategies of key players throughout the energy industry, driving innovative business models while hastening the energy transition.
* The analyst will support our research and product development on large electric loads, including data centres, advanced manufacturing, and facility electrification. The emphasis will be two-fold: evaluating and providing feedback on proposed datasets, workflows and designs for product and supporting policy data collection and analysis, leading to the delivery of policy databases and client reports.
* The analyst will also closely support the development of AI and data tools through which large load data is sourced and delivered to clients. They will be a key liaison between the research, product, and data teams, ensuring the tools developed serve Wood Mac research and client needs.
* Experience with in the data centre industry is not required, but recent experience with respect to the technological, financial, or commodity side of the power sector is expected. The analyst should be well-versed in gathering, evaluating the quality of and distilling significant amounts of data into focused, client-relevant insights, with a knack for writing and editing high-quality reports. The analyst should have experience in project management, demonstrating skills to drive projects involving multiple teams and concurrent workflows.

The salary range for this position is $90K - $100K, which represents base pay only and does not include short-term incentive compensation or commission. When determining base pay, as part of a final compensation package, we consider several factors such as location, experience, qualifications, and training. This base salary maps to the Primary Metropolitan Location.
** Responsibilities*
* * Become a subject matter expert on data centre technology, policy, energy supply, siting and deployment
* Drive and contribute to the development of AI-enabled data gathering tools, including by identifying and vetting new data sources, and supporting data science teams in classifying and extracting data from documents
* Work closely with product and data teams to provide research input and expertise in the development of new platforms and tools
* Conduct hands-on…