Senior Research Analyst - Subsurface Data Analytics
Join to apply for the Senior Research Analyst - Subsurface Data Analytics role at Roskill - A Wood Mackenzie Business
Senior Research Analyst - Subsurface Data Analytics
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Join to apply for the Senior Research Analyst - Subsurface Data Analytics role at Roskill - A Wood Mackenzie Business
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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. Thats 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 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
Establishing resilient, sustainable and reliable portfolios is critical to energy companies as they develop agile business models to navigate the Energy Transition. We strive to be the partner of choice in offering a range of world-class products and services to support the business needs of these companies. Our global Subsurface Research Team delivers integrated research, data analysis and industry-leading thought leadership, across the geo-energy landscape, enabling customers to make quicker, more effective decisions.
Reporting into our Subsurface Research Leadership, an experienced, highly motivated, innovative and performance oriented Senior Analyst is required to drive our Subsurface analytics agenda, including the use of AI, to provide our customers with advanced workflow solutions and insights that help them to make better informed investment decisions for the Energy Transition.
Main Responsibilities
* Shape and lead the Subsurface Analytics agenda
* Collaborate across Wood Mackenzie on Synoptic initiatives
* Drive data and workflow analytics within Subsurface and, build data science driven analytics bench strength in Subsurface CoE
* Support and drive material Subsurface revenue growth through inception and delivery of AI-driven solutions
* Build and develop a broad and deep relationship network with our customers. Engage to understand their needs and wants to drive development of our offer
* Originate and author unique, thought provoking and highly impactful written content
* Supporting the Subsurface team vision and agenda and the development of our geo-energy products and services
* Embrace, practise and demonstrate Wood Mackenzies core values on teamwork and collaboration, respect, integrity, fairness and valuing diversity
About You
You are passionate about the energy sector and the role it plays in delivering energy to the world. You have an analytical mindset, understand the power of subsurface data, and excited by the potential of AI across the Upstream value chain.
Youre able to analyse and form clear, coherent conclusions from a variety of data and information. You find it easy communicating complex or technical information and delivering messages that are easily understood.
You thrive in a collaborative, commercial and client-centric environment and proven track record of fostering strong working relationships through coaching, influencing and developing others around you. The people around you recognise your ability to develop others and build an environment in which people thrive and deliver high quality results
The way in which you work is productive and driven, striving to be best in class. You share ideas and take accountability. The way in which you work enables you to build strong, collaborative internal relationships and can influence within the wider company, at a variety of levels of seniority. You understand that diversity of experience and thought is important and that working across different geographies requires cultural appreciation.
If you are looking for a role where you can be part of a dynamic team, that is supporting clients to make better informed decisions, and influence how we power our planet, apply now .
Qualifications And Capabilities
* BSc in a Geoscience or Reservoir Engineering discipline and a post-graduate data science degree, or equivalent experience.
* 5-10 years of relevant, professional experience in the energy sector, preferably within the Upstream Value Chain.
* Expert data analytical skills and demonstrably comprehensive and up-to-date knowledge of data analytics technology development and application.
* Deep interest in, and knowledge of the global Energy Transition.
* Experience in external relationship building and management.
* Demonstrable commercial acumen.
* A track record in demonstrating differentiated values and behaviours.
* Excellent written and verbal communication skills.
* Demonstrable curiosity with a track record of impactful innovation.
Expectations
* 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.
* Due to the global nature of the team, a degree of flexible working will be required to accommodate different time zones.
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.
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Seniority level
* Seniority level
Mid-Senior level
Employment type
* Employment type
Full-time
Job function
* Job function
Research, Analyst, and Information Technology
* Industries
Operations Consulting
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