Supply Chain Market Research and Data Associate (Risk, Diversity, Emissions)
Supply Chain Market Research and Data Associate (Risk, Diversity, Emissions)
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1 Vacancy
Job Description
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 madeunder mounting pressure. Now more than ever companies need reliable data analytics and actionable insight.
Wood Mackenzie is theleading global provider of data and analytics solutionsfor the renewables energy and natural resources sectors.
Wood Mackenzies servicesinclude data analytics insight events and consultancy. A trusted partner for over 50 years Wood Mackenzies team has over 2300 experts across more than 30 globallocations who cover the entire supply chain.
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 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 Supplier Diversity Carbon Emissions Risk and other supplier and category insights within MIG.
Main Responsibilities
- Perform data extraction manipulation cleaning analysis and QA of large datasets
- Manipulate existing data in new ways. Cleanse and enrich data to make it more powerful. Pioneer new ways to analyze and visualize data
- Collaborate in a self-managed Agile team to drive continuous improvement of our product and processes
- Bring thought leadership by assessing the industry and the broader business environment to account for customer preferences industry trends market conditions and business needs
- Support the sales process by creating marketing collateral infused with market insights and contributing to go-to-market strategies proposal development and product demonstrations
- Manage multiple MIG client accounts and serve as an expert on select Wood Mackenzie supply chain products
About You
- Bachelors degree with a quantitative focus
- Proficient in Microsoft Office Suite with advanced Excel skills including vlookups and pivot tables
- Exceptional analytical problem solving and time management skills with attention to detail
- Proven ability to learn quickly in a fast-paced environment to manage multiple tasks and/or projects with changing priorities
- Enjoys organizing large data sets identifying discrepancies and making appropriate adjustments
- Excellent communication skills both oral and written
- A self-starter who takes initiative asks questions and is eager to learn
- English proficiency required
Pluses:
- Experience in the energy industry
- Proficiency with databases
- Proficiency with Talend or other ETL software
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
