Data/Solution Architect
2 days ago
Job Description:
We are seeking an experienced Data Analyst to join our team. The ideal candidate will have a strong understanding of data models, including various patterns such as 1 to many and many to many.
The successful candidate will have expertise in advanced SQL skills, including data partitioning, stored procedures/macros, and recursive SQLs. They will also have extensive experience working with multiple databases, including Oracle and Databricks, both on-premise and cloud-based.
A key aspect of the role is to profile data sources, reverse engineer data models, and identify relationships between tables. This requires strong analytical skills, as well as the ability to meet with system owners to tie observations of data patterns with business processes and use cases.
The Data Analyst will also be responsible for architecting data strategy for future state, including profiling data sources to identify anomalies, inconsistencies, and data quality issues. They will take ownership of the data, ensuring accuracy, completeness, and reliability.
In addition to technical skills, the successful candidate will demonstrate curiosity and a relentless pursuit of understanding complex datasets. They will engage with various stakeholders, including clinicians, researchers, data scientists, and IT professionals, to gather requirements and ensure alignment.
Key Responsibilities:
- Profile data sources to reverse engineer data model and relationships between tables
- Meet with system owners to tie observations of data patterns with business processes and use cases
- 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
- Architect data strategy for future state
- Take ownership of data, ensuring accuracy, completeness, and reliability
- Demonstrate curiosity and relentless pursuit of understanding complex datasets
- Engage with various stakeholders to gather requirements and ensure alignment
Requirements:
- Expert understanding of data models and various patterns
- Advanced SQL skills, including data partitioning and stored procedures/macros
- Extensive experience working with multiple databases, including Oracle and Databricks
- Experience in ETL concepts
- Strong analytical skills
- Curiosity and relentless pursuit of understanding complex datasets
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