Sr. Analyst, Data Quality

Scorpion Therapeutics; California (MO); On-site; USD 80,000 - 110,000; Full time

Job summary

Neurocrine Biosciences is seeking a Senior Analyst, Data Quality to build scalable quality control processes for commercial datasets, ensuring data integrity and reliability.

The role requires evaluating data quality across IQVIA and CRM, performing root cause analysis, and supporting ingestion and validation in Databricks, while maintaining governance documentation and collaborating with cross-functional teams.

Qualifications

• Bachelor's degree in Data Analytics, Statistics, or related fields.
• 4+ years of data analysis or quality control in life sciences or healthcare.
• Proficiency in SQL, Databricks, and analytics tools.
• Strong analytical, communication, and stakeholder engagement skills.

Responsibilities

• Execute recurring data quality checks across platforms like IQVIA and CRM.
• Perform root cause analysis for anomalies.
• Support data ingestion and validation in Databricks.
• Maintain data governance documentation.

Skills

Analytical thinking

Communication

Stakeholder engagement

Data quality

Education

Bachelor's degree in Data Analytics/Statistics

Tools

SQL

Databricks

Analytics tools

Power BI

Job description

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

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.

Requirements

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

Preferred qualifications include experience with commercial life sciences datasets, data governance frameworks, and BI tools like Power BI.

Additional Details

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.