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:Minimum Qualifications:- 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:- 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
Core Competencies:- Analytical Thinking & Problem Solving
- Collaboration & Stakeholder Engagement
- Attention to Detail & Accuracy
- Process Improvement Mindset
- Adaptability in a Dynamic Environment
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The annual base salary we reasonably expect to pay is $103,300.00-$141,000.00. Individual pay decisions depend on various factors, such as primary work location, complexity and responsibility of role, job duties/requirements, and relevant experience and skills. In addition, this position offers an annual bonus with a target of 20% of the earned base salary and eligibility to participate in our equity based long term incentive program. Benefits offered include a retirement savings plan (with company match), paid vacation, holiday and personal days, paid caregiver/parental and medical leave, and health benefits to include medical, prescription drug, dental and vision coverage in accordance with the terms and conditions of the applicable plans.
