Responsibilities
- Cleaning and preparing datasets based on pre-defined rules
- Running pre-trained machine learning models and interpreting outputs
- Development of conceptual, logical, and physical data models for analytics using predefined rules and approaches
- Strong documentation of data definitions, controls, and processes
- Experience managing large, complex datasets with high inter-dependencies
- Proficiency in Python and SQL; experience with PySpark for large-scale data processing
- Documenting business and functional requirements
- Experience building dashboards and MI outputs (e.g. Tableau, Power BI) for stakeholder consumption and decision-making
- Familiarity with ESG data domains (emissions, climate risk, transition risk metrics) and related data quality/controls
- Experience with test analysis, test execution, and defect management within data or analytics environments
- Experience with application development and deployment (Docker, Kubernetes, CI/CD pipelines)
Requirements
- Cleaning and preparing datasets based on pre-defined rules
- Running pre-trained machine learning models and interpreting outputs
- Development of conceptual, logical, and physical data models for analytics using predefined rules and approaches
- Strong documentation of data definitions, controls, and processes
- Experience managing large, complex datasets with high inter-dependencies
- Proficiency in Python and SQL; experience with PySpark for large-scale data processing
- Documenting business and functional requirements
- Experience building dashboards and MI outputs (e.g. Tableau, Power BI) for stakeholder consumption and decision-making
- Familiarity with ESG data domains (emissions, climate risk, transition risk metrics) and related data quality/controls
- Experience with test analysis, test execution, and defect management within data or analytics environments
- Experience with application development and deployment (Docker, Kubernetes, CI/CD pipelines)
Nice to Have
- Provides subject matter expertise and judgement to interpret and resolve complex, ambiguous, or emerging analytical approaches or techniques where established procedures or precedents may not exist
- Develops and implements models using machine learning and artificial intelligence techniques
