Data Manager

Overview

Manage data workflows, ETL pipelines, and a global analyst team for power & renewables data.

Key Responsibilities

• etl pipelines
• data quality
• customer support
• team management
• project coordination
• collaboration

Tasks

-Creation and ownership of workflows and ETL pipelines that serve data to research teams, and customer facing platforms. -Coordinate with other managers to plan, prioritize, assign, and execute projects -Independently completes projects given time and platform constraints -Line management of a team data analysts and analytics engineers: Provide feedback, establish goals, train, hire, and monitor performance -Collaborate with colleagues across multiple time zones and disciplines to uncover pain points, process improvements, and data requirements. -Monitor and field inquiries from customers and colleagues about our data -Monitoring and communicating data quality.

Requirements

• line management
• problem solving
• excel
• sql
• python
• snowflake

What You Bring

-Experience in a data or software development role with line management responsibilities -Fluent in English. -Experience working in environments reliant on Excel, DAX, PowerQuery, SQL, Python, DBT, and Snowflake. Technical proficiency with these tools is required. -Power industry experience not required but preferred -Hands on approach to problem solving that delves into the details while maintaining the ability to succinctly propose solutions to steer decisions

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Benefits

-Renewable asset owner leaderboards

About Wood Mackenzie

-Pivoted in 1973 to pioneering energy research with its first oil report. -Over five decades evolved into a global consultancy powering decisions in energy, chemicals, metals, mining and renewables. -Its Lens platform spans power, hydrogen, carbon, LNG, maritime and more—turning vast datasets into strategic foresight. -Typical projects include asset valuation, project economics, supply‑chain intelligence and portfolio optimization. -With 30+ offices and a presence across energy value chains, it guides governments, producers and financial institutions. -Stands out by integrating legacy upstream expertise with cutting‑edge analytics across renewables and transition fuels. -Notable for weaving real‑time vessel tracking and carbon insights alongside decades‑deep commodity research.

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