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Principal Data Analyst - Oracle
Data Analyst
Lead complex data analysis for Oracle Health’s Government Services, transforming diverse datasets into actionable insights using Python, SQL, and advanced statistical techniques while ensuring data integrity and quality.
About the role
Key Responsibilities
- Compile and cleanse large, heterogeneous data sets from multiple internal and external sources for exploratory and pre‑defined analyses.
- Audit data quality, ensuring completeness, validity, and adherence to governance standards.
- Apply statistical modeling and machine learning techniques to uncover insights and support decision‑making for internal stakeholders and external clients.
- Transform and package data for specific team functions, creating reusable data pipelines and documentation.
- Collaborate with cross‑functional teams to identify analytical opportunities, mitigate risks, and recommend data‑driven solutions.
Requirements
- 10+ years of experience in data analysis, with a strong background in statistical modeling and data science.
- Proficiency in Python (pandas, NumPy, scikit‑learn) and SQL for data manipulation and extraction.
- Deep understanding of data quality principles, data governance, and data lifecycle management.
- Experience with data visualization tools (Tableau, Power BI, or similar) to communicate findings effectively.
- Excellent problem‑solving skills, attention to detail, and the ability to translate complex data into clear, actionable insights.