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Generalist senior data analyst with broad SQL/Tableau/ETL needs, moderately competitive applicant pool.
Core analytics skills are transferable, but healthcare domain context moderately increases domain specificity.
Multiple mandatory technical skills (advanced SQL, ETL, Tableau, data-quality) create strict screening.
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Ensure accuracy, consistency, and reliability of enterprise data through validation of data pipelines, ETL processes, semantic models, and Tableau dashboards.
Conduct root cause analysis for data issues and maintain correctness of business metrics.
Mentor junior analysts by providing best practices and technical guidance while maintaining individual contributor responsibilities.
Advanced SQL skills with ability to write and optimize complex queries.
Experience working with Tableau dashboards, ETL/data pipelines, and source-to-target data validation.
Strong data analysis, troubleshooting, and root cause analysis skills.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in collaborating with Data Engineers, Business Analysts, BI teams, and business stakeholders for data validation.
Comfortable using AI tools (e.g., ChatGPT, GitHub Copilot) to enhance productivity and data analysis.
Familiar with semantic layers, data models, business metrics, and data quality frameworks in modern data analytics environments.