Sr. Analyst, Data Quality

Neurocrine BiosciencesSan Diego, CA

About The Position

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.

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

Nice To Haves

  • Experience with commercial life sciences datasets (IQVIA, specialty pharmacy, CRM)
  • Familiarity with data governance frameworks and data observability platforms (Monte Carlo, Collibra)
  • Experience with Power BI or other BI/visualization tools

Responsibilities

  • 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
  • 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
  • Monitor compliance with established data governance models and quality standards
  • Document quality control processes and create training materials for cross-functional adoption
  • 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
  • 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

Benefits

  • retirement savings plan (with company match)
  • paid vacation, holiday and personal days
  • paid caregiver/parental and medical leave
  • health benefits to include medical, prescription drug, dental and vision coverage
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