Responsibilities
- 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
Requirements
Requirements:
- General Attributes
- Advanced sql skills familiarity with a variety of DB technologies (oracle sql server etc)
- Comfortable with AWS environment and databricks
- 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 datadriven decisionmaking
- Collaborate with crossfunctional teams to develop and implement data models and solutions that meet business objectives
Advanced SQL, Database Technologies,Oracle, SQL Server, AWS , Databricks, ETL (Extract, Transform, Load), Data Analysis, Stakeholder Engagement, Data Modeling
Education
Bachelor s degree