Senior II Data Analyst developing competitive pricing strategies for FedEx Express. Analyzing P&L and mentoring new joiners while collaborating across functions on complex projects.
About the role
- Data Analyst role at Wood Mackenzie supporting lower 48 oil and gas research and analytics team. Requires strong PySpark, Python skills and cloud technologies knowledge.
Responsibilities
- Design, develop, and maintain data pipelines using PySpark, Python, and cloud-native tools
- Build and optimize ETL processes for ingesting, transforming, and validating large oil and gas datasets
- Integrate data from cloud environments into unified models
- Perform data discovery, cleansing, validation, and anomaly detection
- Conduct thorough quality assurance across multiple datasets (production, completions, costs, well attributes, etc.)
- Create and maintain data flow diagrams, source-to-target mappings, and documentation
- Reverse-engineer existing scripts, workflows, and legacy logic to understand data lineage and implement improved solutions
- Collaborate closely with the research and analytics teams to understand data needs and provide timely insights
- Drive automation and process optimization, including leveraging AI tools and frameworks to improve analyst workflows
- Produce comprehensive technical and functional documentation, including SOPs, design specs, and system overviews
- Work with cross-functional teams using tools such as Jira, Confluence, TFS, Excel, PowerPoint, and Visio
Requirements
- Experience in data analysis, data engineering, or data development
- Strong programming skills in PySpark and Python
- Experience with AWS or other cloud platforms for data development and integration
- Ability to work with large, complex datasets and develop scalable data solutions
- Strong analytical, troubleshooting, and problem-solving skills
- Excellent verbal and written communication skills, including documentation
- Experience working with Lower 48 oil & gas or broader energy industry datasets (production, completions, well records, cost data, etc.) (preferred)
- Experience working across hybrid environments (cloud + on-prem) (preferred)
- Familiarity with data orchestration tools, version control, and CI/CD workflows (preferred)
- Ability to analyze or enhance legacy code by reverse-engineering logic and improving performance (preferred)
- Demonstrated ability or willingness to incorporate AI-driven tools into daily workflows (preferred)
Benefits
- Equal opportunities employer
- Committed to recruiting the best people regardless of their race, colour, religion, age, sex, national origin, disability or protected veteran status
- Support during the hiring process for individuals with physical or mental disabilities
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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