
Senior Manager, Data Analytics
- Wood Dale, IL
- $106,200-149,000 per year
- Permanent
- Full-time
- Design and maintain the QRA data analytics roadmap aligned with business objectives.
- Lead the development of dashboards, scorecards, and automated reports to track quality, regulatory, and compliance KPIs.
- Partner with IT and enterprise analytics teams to ensure data integrity, standardization, and scalability across platforms.
- Lead the design, validation, and delivery of high-impact visualizations and insights used in Board of Directors materials, executive summaries, and quarterly business reviews.
- Ensure analytical rigor and compliance in data presented to governance bodies.
- Collaborate with Regulatory Affairs, Legal, Compliance, and Enterprise Risk Management to ensure data reporting aligns with internal and external standards.
- Apply statistical and predictive analytics to identify trends, risks, and opportunities across quality and regulatory operations (e.g., CAPA trends, audit findings, inspection readiness).
- Enable proactive decision-making through scenario modeling, root cause analysis, and risk-based prioritization.
- Provide strategic insights that inform QRA planning, operational initiatives, and performance improvement.
- Drive automation of data reporting to reduce costs, improve customer experience, and enhance data quality.
- Serve as a trusted advisor to QRA leadership, offering analytics expertise to drive quality and compliance decisions.
- Partner cross-functionally with Laboratory Operations, R&D, Clinical Affairs, and Corporate Functions to integrate analytics into key business processes.
- 8+ years of experience in data analytics, with at least 3 years in a regulated healthcare, life sciences, or diagnostics environment.
- 3+ year of experience preparing data-driven materials for governance, including Board of Directors or executive-level audiences.
- Experience in Quality and Regulatory Affairs within the diagnostics, medical devices, or laboratory services industry.
- Experience working with artificial intelligence (AI)
- Working knowledge of enterprise systems such as MasterControl, SAP, Veeva, Medialab, Smartsolve, etc.
- Familiarity with GxP, FDA, CLIA, and other relevant regulatory frameworks.
- Proficient with SQL, Python, or R for data transformation and analysis.
- Proficient in data visualization and BI tools (e.g., Tableau, Power BI, Looker).
- Certified Analytics Professional, ASQ, RAC).
Bachelor's Degree(Required)About the Team: Quest Diagnostics honors our service members and encourages veterans to apply.While we appreciate and value our staffing partners, we do not accept unsolicited resumes from agencies. Quest will not be responsible for paying agency fees for any individual as to whom an agency has sent an unsolicited resume.Equal Opportunity Employer: Race/Color/Sex/Sexual Orientation/Gender Identity/Religion/National Origin/Disability/Vets or any other legally protected status.