Wood Mackenzie
Principal Data Analyst
Wood Mackenzie, Houston, Texas, United States, 77246
In the middle of the energy transition, businesses and governments are faced with significant challenges. But the pace and scale of change mean every decision is made under mounting pressure. Now, more than ever, companies need reliable data, analytics and actionable insight.Wood Mackenzie is the leading global provider of data and analytics solutions for the renewables, energy and natural resources sectors.Wood Mackenzie’s services include data, analytics, insight, events and consultancy. A trusted partner for over 50 years, Wood Mackenzie’s team has over 2,300 experts across more than 30 global locations who cover the entire supply chain.Wood Mackenzie Values
Inclusive – we succeed togetherTrusting – we choose to trust each otherCustomer committed – we put customers at the heart of our decisionsFuture Focused – we accelerate changeCurious – we turn knowledge into actionRole Purpose
As a data quality leader at Wood Mackenzie, you will lead team/projects and work with our top financial analytics in the energy industry both from internal and external clients to drive data insights through continuous data coverage and quality improvements. We would like to invite a candidate with existing domain knowledge in unconventional upstream oil and gas operations and working knowledge of data operations to join our team.Main Responsibilities
Foster collaboration among cross-functional teams to explore, gather, prioritize, and execute data requirements, ensuring alignment with organizational objectives and client needs.Create and oversee a robust data quality assurance process, guaranteeing the integrity and accuracy of weekly data deliverables presented to clients.Design and implement models, tooling, algorithms and daily protocols to proactively identify and improve data quality, ensuring our data remains of the highest standard.Lead and inspire the team in the development of innovative algorithms, driving the expansion of new data capabilities to enhance client offerings.Cultivate an environment of learning and growth, providing mentorship and comprehensive training to team members to elevate their expertise in the data domain.Understand the overarching workflow within our data processing platform to efficiently diagnose data quality issues and recommend precise, technical modifications to our data engineering practices for continuous improvement.About You
Technical and data expertise
Domain expertise in unconventional upstream oil and gas operations with technical understanding of publicly reported data sources in North AmericaAwareness in Big Data management: proficiency in managing data quality, metric definition, monitoring, and dashboarding.Experience developing logic, models or algorithms to solve complex mathematical problems.Comfort and experience with SQL, Python, and other programming languages to traverse large data sets.Nice to have: Familiarity with the architecture and operation of distributed systems for data extraction, ingestion, and processing. Knowledge of large-scale data warehousing and analytics technologies (AWS Glue, Athena, Redshift, S3, EC2, etc.).Customer focus and collaboration
Customer orientated. Acting and prioritizing based on deep understanding of customer requirements.Collaboration with Teams: Working with Research, Consulting and Product stakeholders for feature development.Building Partnerships: Enhancing public presence, forming cross-departmental and external partnerships.Leadership and team development
Leadership Experience: Guiding teams or workgroups toward cross-functional objectives.Talent Development: Proven track record of developing high-performance teams.Educational Background And Certification
Bachelors or Advanced degree (Masters degree or higher) in relevant fields such as Petroleum/Reservoir or Chemical Engineering, Mathematics or related fieldAdditional education in data engineering, such as AWS Solutions Architect certification (a plus).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.Find out more at
HRenquiries@woodmac.com .
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Inclusive – we succeed togetherTrusting – we choose to trust each otherCustomer committed – we put customers at the heart of our decisionsFuture Focused – we accelerate changeCurious – we turn knowledge into actionRole Purpose
As a data quality leader at Wood Mackenzie, you will lead team/projects and work with our top financial analytics in the energy industry both from internal and external clients to drive data insights through continuous data coverage and quality improvements. We would like to invite a candidate with existing domain knowledge in unconventional upstream oil and gas operations and working knowledge of data operations to join our team.Main Responsibilities
Foster collaboration among cross-functional teams to explore, gather, prioritize, and execute data requirements, ensuring alignment with organizational objectives and client needs.Create and oversee a robust data quality assurance process, guaranteeing the integrity and accuracy of weekly data deliverables presented to clients.Design and implement models, tooling, algorithms and daily protocols to proactively identify and improve data quality, ensuring our data remains of the highest standard.Lead and inspire the team in the development of innovative algorithms, driving the expansion of new data capabilities to enhance client offerings.Cultivate an environment of learning and growth, providing mentorship and comprehensive training to team members to elevate their expertise in the data domain.Understand the overarching workflow within our data processing platform to efficiently diagnose data quality issues and recommend precise, technical modifications to our data engineering practices for continuous improvement.About You
Technical and data expertise
Domain expertise in unconventional upstream oil and gas operations with technical understanding of publicly reported data sources in North AmericaAwareness in Big Data management: proficiency in managing data quality, metric definition, monitoring, and dashboarding.Experience developing logic, models or algorithms to solve complex mathematical problems.Comfort and experience with SQL, Python, and other programming languages to traverse large data sets.Nice to have: Familiarity with the architecture and operation of distributed systems for data extraction, ingestion, and processing. Knowledge of large-scale data warehousing and analytics technologies (AWS Glue, Athena, Redshift, S3, EC2, etc.).Customer focus and collaboration
Customer orientated. Acting and prioritizing based on deep understanding of customer requirements.Collaboration with Teams: Working with Research, Consulting and Product stakeholders for feature development.Building Partnerships: Enhancing public presence, forming cross-departmental and external partnerships.Leadership and team development
Leadership Experience: Guiding teams or workgroups toward cross-functional objectives.Talent Development: Proven track record of developing high-performance teams.Educational Background And Certification
Bachelors or Advanced degree (Masters degree or higher) in relevant fields such as Petroleum/Reservoir or Chemical Engineering, Mathematics or related fieldAdditional education in data engineering, such as AWS Solutions Architect certification (a plus).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.Find out more at
HRenquiries@woodmac.com .
#J-18808-Ljbffr