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Protocol Intelligence
Data-driven signals on your job's competitivenessRecognizable biotech brand plus generalist senior data requirements increases candidate density but seniority limits some applicants.
Core SQL, ETL, and BI skills transfer widely, but healthcare/oncology data experience increases domain sensitivity.
No explicit years but mandatory advanced SQL, ETL, Tableau, and data-quality skills create moderate shortlisting filters.
Job Description
Structured overview of role & requirementsAbout This Role
Own validation of enterprise data accuracy and reliability including ETL/data pipelines, semantic models, and Tableau dashboards.
Collaborate with Data Engineers, Business Analysts, BI teams, and business stakeholders to investigate data issues and perform root cause analysis ensuring business metrics correctness.
Mentor and provide technical guidance to junior analysts while remaining an individual contributor; utilize AI tools to enhance analysis productivity.
Minimum Requirements
Advanced SQL skills for writing and optimizing complex queries.
Experience 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.
Ideal Candidate Profile
Experienced in enterprise data quality assurance within Data Analytics, BI, or Data Quality environments collaborating cross-functionally with engineering and business teams.
Proficient in semantic data models, business metrics validation, and use of AI-enabled tools to improve analysis and productivity.
Ability to mentor junior analysts and provide technical leadership without formal management responsibility.