Senior Data Modeler
3 weeks ago
Analyzing existing data sources :
- Expert understanding of data models and various 1 to many, many to many and other patterns, normalization and denormalization patterns and purposes
- Profile data sources to reverse engineer data model and relationships between tables, identify key fields, and infer meaning of attributes
- Meet with system owners to tie observations of data patterns with business processes and use cases that lead to those patterns
- Conduct root cause analysis (RCA) to identify underlying issues and drive effective solutions.
- Perform frequency distribution analysis to identify patterns and trends in the data.
Architecting data strategy for Future State :
- Profile the data sources to identify anomalies, inconsistencies, and data quality issues.
- Take ownership of the data, ensuring accuracy, completeness, and reliability.
- Develop target data model that provides optimal long term functional opportunities
- Design the right change data capture, audit strategy
- Identify where reference tables are necessary
- Design mapping tables / helper tables to support configurable ETL
General Attributes :
- Advanced sql skills, familiarity with a variety of DB technologies (oracle, sql server, etc)
- Comfortable with AWS environment / databricks, progress
- Experience with ETL
- Demonstrate curiosity and a relentless pursuit of understanding complex datasets.
- Engage with various stakeholders, including clinicians, researchers, data scientists, and IT professionals, to gather requirements and ensure alignment.
- Communicate effectively with stakeholders at all levels, translating technical concepts into clear and actionable insights.
- Lead deep data analysis initiatives to extract meaningful insights and drive data-driven decision-making.
- Collaborate with cross-functional teams to develop and implement data models and solutions that meet business objectives.
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