Renewables Cost Associate

GB-London-Office, United Kingdom

Wood Mackenzie

Empower strategic decision-making in global natural resources with quality data, analysis and advice. Discover the latest insights and reports online.

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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

Role Purpose

The Supply Chain Market Intelligence Group (MIG) is a team responsible for managing the market insights delivered through our suite of software-as-a-service products, including price benchmarking, cost escalation, forecasting, renewable asset cost estimating, commodity exposure, supply chain risks, carbon (GHG) emissions, supplier and other category insights across all goods and services procured globally by the energy and natural resource industry.  Our clients primarily leverage these insights to identify opportunities to save money and reduce risks.  We are a hybrid group that wears many hats: data analyst, consultant, economist, market researcher and product owner.  In our hybrid role, we collaborate closely with many teams in the company, including product development, data science, research groups, consulting, sales & marketing and customer success, among others.

In particular, this role will focus on the price forecasting, commodity exposure, cost modelling, and renewable asset cost estimating activities within MIG.

Main Responsibilities

  • Leverage Wood Mackenzie proprietary data along with primary research to develop goods and services price forecasts and strategy recommendations for our clients. Deliver insights through our SaaS product platform and through reports that include both conceptual analysis and quantitative findings.
  • Estimate the cost to build and operate solar, wind, battery storage and other power generating assets.
  • Serve as primary point of contact for MIG clients as an expert on select Wood Mackenzie supply chain products as well as power and renewables markets.
  • Support the sales process by creating marketing collateral infused with market insights and contributing to go-to-market strategies, proposal development and product demonstrations.
  • Perform data extraction, manipulation, cleaning, analysis, and audit of large datasets, relying on well-structured procedures and maintaining reproducibility of results.
  • Combine existing data in new ways, cleanse and enrich data to make it more powerful and pioneer new ways to analyse and visualize data.
  • Contribute as part of an Agile Scrum team in a fast-paced environment with high visibility to the rest of the company.
  • Write clear and concise commentary to supplement the data and provide market context to customers.

About You

  • Exceptional analytical, problem solving, and time management skills with attention to detail.
  • Enjoys organizing large data sets, identifying discrepancies, and making appropriate adjustments.
  • Strong interpersonal and client-facing skills with success in a team environment.
  • Ability to learn quickly and adapt based on the needs of clients and Wood Mackenzie.
  • Excellent communication skills, both oral and written.
  • Applicable Bachelor’s degree with a quantitative, statistical, energy and/or economics focus.
  • No prior full-time work experience required.
  • Python, R and other coding and data science skills a plus.
  • Strong writing skills a plus.

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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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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Agile Consulting Economics Python R Research Scrum Statistics

Perks/benefits: Team events

Region: Europe
Country: United Kingdom

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