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Senior Research Analyst, Subsurface
Wood Mackenzie
Leading global data & analytics provider for renewables, energy and natural resources.
Lead analytics readiness and data integration for subsurface datasets in EMEA.
Support the Subsurface team’s vision and agenda and be a positive advocate for Wood Mackenzie’s brand
Work with Subsurface research analysts, and the Upstream product function, to ensure seamless connectivity (e.g. across basins, plays, prospects, wells and field reservoirs) of our Subsurface dataset
Build and develop a strong relationship network with our customers. Engage to understand their use cases, workflows, pain points and data needs in support of the continuous improvement of our offer
Support the delivery of our Subsurface Value Creation Plan roadmap through deep participation in, and collaboration across, the associated workstreams
Work with the Upstream data function, Subsurface research analysts and the regional Upstream research teams, to ensure delivery of the Subsurface data expansion plan, including meeting agreed data coverage, completeness, integrity and timing OKRs – warranting that all options to deliver the plan have been explored / utilised
Ensure the that our Subsurface dataset is analytics ready for customers. Collaborate with our Upstream regional research teams to affect a cultural shift in Subsurface data accountability
Help to build organisational capability within the data function through teaching, coaching and advising less experienced staff in support of Subsurface data excellence
What you bring
ai
subsurface
5-10 years
bsc geoscience
data analytics
teamwork
Up-to-date knowledge of the utilisation of AI across the Upstream Subsurface space.
5-10 years of Subsurface experience within the Upstream sector with a strong understanding of the petroleum geology of the EMEA region and deep exposure to common Subsurface use cases, workflows and data usage.
We are a hybrid working company and the successful applicant will be required to be physically present in the office at least 2 days per week to foster and contribute to a collaborative environment. Full-time remote working is not an option for this role.
A track record in demonstrating differentiated values and behaviours with a particular focus on teamwork and collaboration.
Experience in external relationship building and management.
Strong commercial acumen.
Minimum of a BSc in a Geoscience discipline; a data science qualification would be an advantage.
Demonstrable data analytical skills and experience of working with databases.
Demonstrable curiosity with a track record of impactful innovation.
Excellent written and verbal communication skills.
Benefits
Due to the global nature of the team, a degree of flexible working will be required to accommodate different time zones.
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