The client is a leading health and wellness platform aiming to help the world feel great through better health. The mission involves redefining healthcare by providing affordable, accessible, and personalized care from diagnosis to treatment to delivery. The role addresses the need to support the Quality organization in ensuring compliance within Board of Pharmacy and FDA-regulated pharmacy operations by building trusted data solutions that improve quality monitoring, compliance visibility, and process efficiency.
Requirements
- 8+ years of experience in data analysis, operations analytics, or a related field.
- Experience working with Quality functions in a pharmacy or FDA-regulated environment.
- Strong proficiency in SQL and data manipulation for analysis and reporting.
- Hands-on experience with modern analytics tools and technologies, including Looker, Google BigQuery, Databricks, and dbt.
- Strong understanding of data visualization best practices and regulatory reporting needs.
- Solid understanding of statistical analysis methodologies and their application to quality and operational datasets.
- Proven ability to work with complex datasets, including quality/compliance data, and translate them into actionable insights.
Responsibilities
- Serve as the dedicated analytics partner for the Quality team, ensuring alignment with FDA and pharmacy compliance requirements.
- Own the accuracy, completeness, and compliance readiness of operational quality data.
- Design, develop, and maintain dashboards and reports to monitor Quality performance metrics (e.g., notification to management (NtM), deviations, CAPAs, audits, complaints, pharmacy compliance KPIs).
- Collaborate with Quality and Operations stakeholders to define data needs and translate them into scalable data solutions.
- Perform in-depth analysis of quality events and operational data to uncover patterns, risks, and improvement opportunities.
- Perform statistical analysis to support root cause investigations, monitor process stability, and assess effectiveness of quality improvements.
- Build and maintain data pipelines and workflows in collaboration with Data Engineering, ensuring data accuracy, timeliness, and scalability.
Other
- Bachelor’s degree in Mathematics, Statistics, Data Analytics, Pharmacy, or a related field.
- Excellent communication skills, with the ability to bridge technical analysis and regulatory/quality needs.
- Demonstrated ability to manage multiple projects independently in a fast-paced environment.
