Quality Process Analyst

Primary Responsibilities

• Design, build, and automate quality analytics reports using business intelligence tools and databases to support performance monitoring.
• Gather and monitor production metrics, analyzing data sets to discover trends and develop actionable business insights.
• Generate recurring reports regarding team productivity and operational processes, including volume tracking and workload management.
• Manage technical workflows and documentation via Jira, including ticket management for analytics and relaying requirements between operations and engineering teams.
• Coordinate quality escalations, reviewing trends across issues such as process changes or panel state updates.
• Monitor compliance and quality records, including NCRs, CAPAs, amended reports, and HIPAA-related incidents.
• Support process mapping initiatives and identify opportunities for continuous quality and process improvement.
• Utilize SQL and statistical packages to perform data analysis, write scripts, and conduct hypothesis testing (e.g., AQLs).
• Implement and monitor Statistical Process Control (SPC) to maintain high-quality production standards.
• This role works with PHI on a regular basis both in paper and electronic form and will have access to various technologies to access PHI (paper and electronic) in order to perform the job.
• Support organizational training initiatives and maintain compliance with HIPAA/PHI privacy and security requirements.
• Meet established deadlines accurately and with a sense of urgency in a fast-paced environment.

Qualifications

• Bachelor’s in science, engineering or related field. An equivalent combination of education and experience will be considered.
• 1+ years of overall data centric experience preferred; preferably in business data analysis.
• Experience with reporting packages (such as QlikView, PowerBI, Business Objects etc.) is a plus.

Knowledge, Skills, and Abilities

• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
• Technical expertise regarding data models, database query, data segmentation techniques.
• Strong organizational, communication, presentation, and facilitation skills.
• Independent worker, a self-starter with strong organizational and planning skills.
• Has an ability to be productive and successful in an intense work environment.
• Basic understanding with business intelligence tools.
• Microsoft Office / Google Docs and Windows workstation.
• Instant message tools (e.g. Slack, Google Hangouts).