Sr. Analyst, Data Quality

Role: Senior Analyst, Data Quality at Neurocrine Biosciences, focusing on building scalable quality control processes for commercial datasets to ensure data integrity and reliability. Responsibilities include executing recurring data quality checks across platforms like IQVIA and CRM, performing root cause analysis for anomalies, supporting data ingestion and validation in Databricks, and maintaining data governance documentation. The role involves collaborating with business stakeholders, vendors, and technical teams to align quality standards, monitor compliance, and drive process improvements through automation and emerging tools such as Monte Carlo. Requirements: Bachelor’s in Data Analytics, Statistics, or related fields; 4+ years in data analysis or quality control within life sciences or healthcare; proficiency in SQL, Databricks, and analytics tools; strong analytical, communication, and stakeholder engagement skills. Preferred qualifications include experience with commercial life sciences datasets, data governance frameworks, and BI tools like Power BI. High-value specifics involve commercial datasets, cloud data platforms, data observability tools, and cross-functional collaboration within the biopharma commercial data ecosystem. The position emphasizes process improvement, attention to detail, and adaptability in a dynamic environment, supporting Neurocrine’s commitment to data integrity and operational excellence.