Quality Process Analyst [Remote]

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Quality Process Analyst based in the United States.

This role plays a critical part in ensuring the quality, accuracy, and efficiency of complex operational and clinical data processes within a highly regulated environment. You will be responsible for building and maintaining quality analytics frameworks that support performance monitoring, compliance, and continuous process improvement. The work blends data analysis, statistical quality control, and operational insight generation to drive better decision-making across teams. You will collaborate closely with cross-functional stakeholders to translate data into actionable insights and improve end-to-end workflows. This includes monitoring production metrics, identifying trends, and supporting escalation processes tied to quality and compliance events. The role also involves working with sensitive healthcare-related data in a secure and compliant manner. This is a highly analytical and impact-driven position where precision, structure, and accountability directly influence operational and patient-related outcomes.

Accountabilities:

• Design, build, and automate quality analytics dashboards and reports using business intelligence tools to support performance tracking and operational decision-making.
• Collect, analyze, and interpret production and operational datasets to identify trends, anomalies, and actionable insights.
• Develop recurring reports on productivity, workload distribution, and process performance across teams and functions.
• Manage workflow tracking and documentation in Jira, including ticket coordination and requirements translation between operations and technical teams.
• Monitor and support quality escalation processes, including analysis of incidents, process changes, and compliance-related issues.
• Oversee quality and regulatory records such as NCRs, CAPAs, amended reports, and HIPAA-related incidents, ensuring accuracy and completeness.
• Support process mapping and continuous improvement initiatives aimed at optimizing operational efficiency and quality outcomes.
• Apply statistical methods, SQL, and analytical tools to conduct data analysis, hypothesis testing, and statistical process control (SPC).

Requirements

• Bachelor’s degree in Science, Engineering, Information Systems, Business, or a related field, or equivalent practical experience.
• 1+ years of experience in data analysis, quality analytics, business intelligence, or a related data-centric role.
• Strong analytical skills with the ability to collect, organize, and interpret large datasets with accuracy and attention to detail.
• Experience using SQL and statistical methods for data analysis, reporting, and process evaluation.
• Familiarity with business intelligence tools such as Power BI, QlikView, or Business Objects (preferred).
• Understanding of data modeling, segmentation techniques, and reporting best practices.
• Strong organizational, communication, and stakeholder management skills in cross-functional environments.
• Ability to work independently, manage priorities, and perform effectively in fast-paced, regulated settings.
• Comfortable working with sensitive healthcare-related data and adhering to HIPAA/privacy requirements.
• Proficiency with productivity and collaboration tools such as Google Workspace, Microsoft Office, and messaging platforms.

Benefits

• Competitive compensation package aligned with experience and market standards.
• Comprehensive health benefits including medical, dental, vision, life, and disability coverage.
• Access to retirement savings plans (401k) and additional financial wellness programs.
• Paid time off, parental leave, and additional family support benefits.
• Employee testing benefits and wellness-focused programs supporting personal and family health.
• Professional development opportunities within a fast-growing, science-driven organization.
• Inclusive and mission-driven work environment focused on improving healthcare outcomes.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.