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).

 

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).