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.
About the role
- Quantitative Analyst/Developer at Deutsche Börse Group creating and improving analytics offerings. Responsible for custom analyses, customer inquiries, and collaboration with academics.
Responsibilities
- Create new analytics offerings and improve existing ones
- Perform custom analyses for internal and external customers
- Respond to customer inquiries
- Take ownership of alternative datasets throughout their lifecycle
- Contribute to the internal codebase for database, analysis, and visualization tools
- Improve and maintain a customer-facing analytics platform
- Source, clean, and combine data; build data pipelines and APIs; run analyses
- Collaborate with and support academics in their research
Requirements
- Ph.D. in a STEM field (completed or in the final stages)
- Proficient in a non-empty subset of {C++, Python, SQL, Linux, Git, GCP}
- 0–3 years of professional experience (if > 0: preferably in finance, market microstructure, data science, or software development)
- Experience analyzing and visualizing data, preferably time series or market data
- Experience developing large, complex software systems (back-end and front-end), potentially including real-time or distributed components
- Proficient in written and spoken English
Benefits
- Health insurance
- Professional development opportunities
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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