Wood Mackenzie is the global data and analytics business for the renewables energy and natural resources industries. Enhanced by technology. Enriched by human 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 2400 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.
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
This role will form part of theCommodities Gas & LNG Datagroup and will work closely with our Research Data and Product functions. The Gas & LNG Data team builds enhances and maintains the data that underpins Wood Mackenzies unique understanding of the energy and natural resources is the key driver behind Wood Mackenzies mission to transform the way we power the planet. The successful candidate will be working on challenges around data management pipelines analysis and data quality.
Main Responsibilities
Form a strong understanding of the data landscape domain and workflows for your business area customers and products
Provide specialist skills in data analysis visualisation and data management delivering new Analytics through connected datasets and integrated pipelines
Advocate for quality take responsibility for the ownership or of data and whilst fulfilling complex data requests on time and with high standards
Identify prioritise and document opportunities for efficiency optimisation migration or improvement in our systems processes and datasets
Work in an agile collaborative manner to foster an environment of continuous improvement and incremental delivery measuring success
Core user of Data platform and ensures best practices are applied to utilise or maintain databases tools models and processes solutions from data sourcing to client delivery
Collaborate with colleagues in Research Data Product and Engineering to deliver Data Assets while supporting junior colleagues
Experience in data related roles demonstrating customer focus and knowledge of core concepts around ingestion cleansing and data quality
Strong skills in Relational and NoSQL Database systems with ability to query and analyse data using SQL or other techniques
Expert skills in a data visualisation package (such as PowerBI)
Worked in areas identifying and applying technology solutions to solve business problems using agile methodologies
Excellent communication skills including mentoring more junior colleagues and managing others workloads
A keen interest and passion for learning new technologies or data skills like Python understanding of AWS and APIs is an advantage.
Qualifications
Experience in data related roles demonstrating customer focus and knowledge of core concepts around ingestion cleansing and data quality
Strong skills in Relational and NoSQL Database systems with ability to query and analyse data using SQL or other techniques
Expert skills in a data visualisation package (such as PowerBI)
Worked in areas identifying and applying technology solutions to solve business problems using agile methodologies
Excellent communication skills including mentoring more junior colleagues
A keen interest and passion for learning new technologies or data skills like Python understanding of AWS and APIs is an advantage.
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
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.
Required Experience:
IC
Wood Mackenzie is the global data and analytics business for the renewables energy and natural resources industries. Enhanced by technology. Enriched by human an ever-changing world companies and governments need reliable and actionable insight to lead the transition to a sustainable future. Thats ...
Wood Mackenzie is the global data and analytics business for the renewables energy and natural resources industries. Enhanced by technology. Enriched by human 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 2400 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.
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
This role will form part of theCommodities Gas & LNG Datagroup and will work closely with our Research Data and Product functions. The Gas & LNG Data team builds enhances and maintains the data that underpins Wood Mackenzies unique understanding of the energy and natural resources is the key driver behind Wood Mackenzies mission to transform the way we power the planet. The successful candidate will be working on challenges around data management pipelines analysis and data quality.
Main Responsibilities
Form a strong understanding of the data landscape domain and workflows for your business area customers and products
Provide specialist skills in data analysis visualisation and data management delivering new Analytics through connected datasets and integrated pipelines
Advocate for quality take responsibility for the ownership or of data and whilst fulfilling complex data requests on time and with high standards
Identify prioritise and document opportunities for efficiency optimisation migration or improvement in our systems processes and datasets
Work in an agile collaborative manner to foster an environment of continuous improvement and incremental delivery measuring success
Core user of Data platform and ensures best practices are applied to utilise or maintain databases tools models and processes solutions from data sourcing to client delivery
Collaborate with colleagues in Research Data Product and Engineering to deliver Data Assets while supporting junior colleagues
Experience in data related roles demonstrating customer focus and knowledge of core concepts around ingestion cleansing and data quality
Strong skills in Relational and NoSQL Database systems with ability to query and analyse data using SQL or other techniques
Expert skills in a data visualisation package (such as PowerBI)
Worked in areas identifying and applying technology solutions to solve business problems using agile methodologies
Excellent communication skills including mentoring more junior colleagues and managing others workloads
A keen interest and passion for learning new technologies or data skills like Python understanding of AWS and APIs is an advantage.
Qualifications
Experience in data related roles demonstrating customer focus and knowledge of core concepts around ingestion cleansing and data quality
Strong skills in Relational and NoSQL Database systems with ability to query and analyse data using SQL or other techniques
Expert skills in a data visualisation package (such as PowerBI)
Worked in areas identifying and applying technology solutions to solve business problems using agile methodologies
Excellent communication skills including mentoring more junior colleagues
A keen interest and passion for learning new technologies or data skills like Python understanding of AWS and APIs is an advantage.
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
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.
Required Experience:
IC
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