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 Brand Video
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
Team Purpose
Our regional data teams focus on the updates of data into our databases and efficient delivery of products. This will require a critical focus on quality and regional or domain expertise. A core element of this role will be on the definition of data sources, workflows and processes, and supporting the automation or evolution of these data pipelines.
Role Purpose
- To effectively manage and develop a team of data analysts that will ensure the delivery of high-quality datasets across the Lens related products for Upstream and Subsurface
- To ensure the update and management of core datasets and products in an efficient manner
- To ensure a consistently high level of quality in the data team
- To drive business efficiencies through effective and appropriate allocation of work based on skill requirement and commercial priority. Supporting automation of workflows
- To recruit, develop and retain the right people that will contribute to delivering the commercial success of our business
- Ensure a culture of excellence in the upheld in the data team
Key Responsibilities
- Leads, evaluates, and develops a team of professionals to support the delivery and development of the Lens product
- Foster an agile, high-performance, collaborative culture which is creative, open, supportive and dynamic with continuous improvement mind-set.
- Working with the regional data SMEs to identify and support priority data improvement projects
- Ensure core metrics are utilised across the team to evaluate data quality and efficiency of operations
- Evolve relationships with your research counterparts to ensure that there is an effective way of working, and continuous level of interaction and knowledge sharing
- Actively prioritise and support the automation of processes through collaboration with the data automation team
- Ensure the delivery of a defined data roadmap, ensuring the delivery of high-quality data to meet our client needs
- Ensure the development of the team is focused on skills and competencies appropriate for transitioning the way we work
- Is an effective coach within area of specialism, supporting an open culture of knowledge sharing, collaboration and idea generation
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.
