Data Scientist at Capital One leveraging AI and machine learning to analyze vast customer data. Collaborating with cross - functional teams to deliver user - friendly solutions and insights.
About the role
- Data Manager role in Power and Renewables Team at Wood Mackenzie. Responsible for data quality, workflows, and managing a team of analysts and engineers.
Responsibilities
- Creation and ownership of workflows and ETL pipelines that serve data to research teams, and customer facing platforms.
- Monitoring and communicating data quality.
- Line management of a team data analysts and analytics engineers: Provide feedback, establish goals, train, hire, and monitor performance.
- Coordinate with other managers to plan, prioritize, assign, and execute projects.
- Monitor and field inquiries from customers and colleagues about our data.
- Collaborate with colleagues across multiple time zones and disciplines to uncover pain points, process improvements, and data requirements.
Requirements
- Experience working in environments reliant on Excel, DAX, PowerQuery, SQL, Python, DBT, and Snowflake
- Technical proficiency with these tools is required
- Experience in a data or software development role with line management responsibilities
- Power industry experience not required but preferred
- Excited about building, guiding, and inspiring a global team of analysts and analytics engineers
- Hands on approach to problem solving that delves into the details while maintaining the ability to succinctly propose solutions to steer decisions
- Independently completes projects given time and platform constraints
- Passionate ownership of projects and excitement to share accomplishments with fellow Woodmackers
- Fluent in English.
Benefits
- Equal opportunities employer support for applicants with disabilities
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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