Data Analyst - Supply Chain

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

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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 price benchmarking, lead times benchmarking and price forecasting activities within MIG.

Main Responsibilities

Leverage Wood Mackenzie proprietary data along with primary research to develop goods and services price and lead times benchmarks and associated strategy recommendations for our clients. Deliver insights through our SaaS product platform and communicate key insights to customers.

Manage multiple MIG client accounts and serve as an expert on select Wood Mackenzie supply chain products.

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. MIG continually seeks new ways to provide actionable insights to clients.

Contribute as part of an Agile Scrum team in a fast-paced environment with high visibility to the rest of the company.

Write and/or verbalize 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 datasets, identifying discrepancies, and making appropriate adjustments.

Enthusiasm for innovating the way data is analyzed, applied, and visualized.

Strong interpersonal and client-facing skills with success in a team environment.

Applicable Bachelor’s degree with a quantitative, statistical, energy and/or economics focus.

Ability to learn quickly and adapt based on the needs of clients and Wood Mackenzie.

Excellent verbal and written communication skills.

Python, R and other coding and data science skills a plus.

Equal Opportunities

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.