Sr. Analyst, Data Quality

Neurocrine Biosciences is a leading biopharmaceutical company with a simple purpose: to relieve suffering for people with great needs. We are dedicated to discovering, developing and commercializing life-changing treatments for patients with under-addressed neurological, psychiatric, endocrine and immunological disorders. The company's diverse portfolio includes FDA-approved treatments for tardive dyskinesia, chorea associated with Huntington's disease, classic congenital adrenal hyperplasia, hyperphagia in Prader-Willi syndrome, endometriosis* and uterine fibroids*, as well as a robust pipeline including multiple compounds in mid- to late-phase clinical development across our core therapeutic areas. For more than three decades, we have applied our unique insight into neuroscience and the interconnections between brain and body systems to treat complex conditions. We relentlessly pursue medicines to ease the burden of debilitating diseases and disorders, because you deserve brave science. For more information, visit  neurocrine.com , and follow the company on  LinkedIn ,  X , Facebook and YouTube . ( *in collaboration with AbbVie ) About the Role: As Senior Analyst, Data Quality, you will be a key contributor in building scalable quality control processes, partnering closely with cross-functional teams to ensure our data is trusted, accurate, and business-ready. This is an exciting opportunity for a detail-oriented, analytical thinker who enjoys tackling complex data challenges, working collaboratively across teams, and utilizing cloud data technologies to make a significant impact in a pivotal position. _ Your Contributions (include, but are not limited to): Data Quality Operations: Execute recurring quality control checks on commercial datasets such as specialty pharmacy, IQVIA, CRM, and targeting lists Perform root cause analysis for data anomalies and recommend corrective actions Support data ingestion, transformation, and integration validation in Databricks Maintain commercial data dictionary, quality control rule library, and data lineage documentation Cross-Functional Collaboration: Serve as a liaison between business stakeholders and technical teams to ensure quality control processes align with business needs Collaborate with vendors to validate incoming data feeds and resolve quality issues Governance & Standards: Monitor compliance with established data governance models and quality standards Document quality control processes and create training materials for cross-functional adoption Innovation & Continuous Improvement: Leverage Databricks, SQL, and automation to improve quality control efficiency and scalability Research and test emerging data quality tools and observability platforms, such as Monte Carlo Contribute to evolving Neurocrine’s commercial data quality strategy and roadmap Essential Functions: Run quality checks on daily basis and notify stakeholders of data quality status and impact Lead or partner on data investigations and small to medium-sized ad hoc analyses Track and resolve field requests, questions, and issues in collaboration with vendors and other stakeholders Analyze issues and make decisions within defined parameters, escalating when necessary Ensure the success of data quality initiatives by proactively identifying and reporting any data gaps Requirements:

Bachelor’s degree in data Analytics, Statistics, Computer Science, Information Systems, or a related field 4+ years of experience in data analysis, quality control, or commercial operations in the life sciences or healthcare industry Proficiency in SQL and hands-on experience with Databricks or similar cloud-based data platforms Strong logical reasoning and analytical skills with high attention to detail Experience running structured and ad-hoc analysis and reporting Excellent written and verbal communication skills for both technical and non-technical audiences Preferred Qualifications: