Sr. Data Analyst

About the Role:Serves as a strategic analytics partner to the Technical Operations organization, delivering data, reporting, and business intelligence solutions across supply planning, manufacturing, logistics, and related operational functions. Independently leads analytics initiatives and contributes subject-matter expertise to complex cross-functional programs by integrating operational data, developing scalable analyses and reporting solutions, and translating findings into clear recommendations. Partners with stakeholders to establish trusted performance metrics, improve data accessibility and governance, and enable timely, data-driven decisions that strengthen operational performance, supply reliability, and continuous improvement.Your Contributions (include, but are not limited to):Leads end-to-end analytics initiatives for Technical Operations, translating business questions into clear requirements, analytical approaches, deliverables, and measurable outcomesIntegrates and analyzes data from planning, manufacturing, logistics, quality, and enterprise systems to identify trends, constraints, risks, root causes, and improvement opportunitiesDevelops and maintains scalable data models, datasets, dashboards, and self-service reporting solutions that provide accurate, timely visibility into operational performanceDefines, documents, and governs key performance indicators and metric logic, aligning stakeholders on consistent definitions, data sources, calculations, and reporting standardsBuilds analyses and decision-support tools for operational planning, capacity and resource decisions, inventory and supply performance, service levels, and continuous improvement initiativesPartners with business and technical teams to assess data quality, resolve discrepancies, strengthen controls, and improve the completeness, consistency, traceability, and reliability of operational dataAutomates recurring data preparation, validation, reporting, and distribution processes to reduce manual effort, improve scalability, and accelerate access to insightsSynthesizes complex analyses into concise findings, recommendations, and executive-ready visualizations; clearly communicates assumptions, limitations, risks, and business implicationsManages analytics workstreams and smaller projects, coordinating priorities, dependencies, timelines, testing, implementation, and stakeholder adoptionServes as a subject-matter resource for analytics platforms and methods by developing documentation, training users, and promoting effective self-service analytics and data literacyEnsures analytics solutions and data-handling practices comply with applicable privacy, security, governance, and records requirements; performs other duties as assignedRequirements:BS/BA degree in Computer Science, Statistics, Data Science, Information Systems or some relevant field and 4+ years of experience in data analytics, business intelligence, or a related role, within pharmaceutical, biotechnology, or other relevant industry experience ORMaster's degree in a related quantitative or technical field and 2+ years of experience in data analytics, business intelligence, or a related role, within pharmaceutical, biotechnology, or other relevant industry experienceProven experience delivering data analytics, business intelligence, or decision-support solutions in Technical Operations, supply chain, manufacturing, or a comparable operational environmentAdvanced SQL skills, including querying, data transformation, validation, and performance-conscious development across complex datasetsAdvanced proficiency with business intelligence and visualization tools such as Tableau or Power BI; experience with Databricks or comparable cloud analytics platforms preferredProficiency with Python or similar analytical programming languages for data preparation, automation, statistical analysis, and reproducible workflowsWorking knowledge of data modeling, ETL/ELT processes, data warehouses or lakehouse environments, APIs, and modern data architecture conceptsDemonstrated ability to define KPIs, develop dashboards, analyze operational performance, and convert findings into actionable recommendationsExperience with data quality controls, metric governance, requirements gathering, user acceptance testing, documentation, and solution deploymentDemonstrates business acumen and an understanding of how Technical Operations capabilities and performance support Neurocrine's objectives, patients, and customersWorks independently on complex assignments, exercises sound judgment, and knows when to escalate risks, decisions, or resource constraintsBuilds effective partnerships across functions and translates diverse stakeholder needs into practical, prioritized analytics solutionsApplies strong analytical reasoning, structured problem-solving, and attention to detail to ambiguous operational questionsCommunicates complex data and technical concepts clearly to technical and nontechnical audiences through concise written, verbal, and visual presentationsManages multiple initiatives, priorities, and deadlines while maintaining quality, transparency, and stakeholder alignmentDemonstrates a strong commitment to data accuracy, documentation, reproducibility, and continuous improvementInfluences adoption of new metrics, tools, and processes through effective consultation, training, and change supportWorks effectively as both an independent contributor and a collaborative cross-functional team member