Quality Data Specialist

Piper Companies; Lititz (Lancaster County); On-site; USD 28,000 - 34,000; Full time

Benefits offered by this job

Medical

Dental

Vision

401K with company match

PTO

Sick Leave

Long-Term Disability

Short-Term Disability

Paid Holidays

Job summary

Piper Companies is seeking a Quality Data Specialist to support a leading global healthcare organization on-site in Lititz, PA. You will gather, clean, and analyze quality data to identify trends and opportunities for improvement, and translate findings into actionable insights for Quality and Operations teams.

The role emphasizes data validation, cross-functional collaboration, and developing dashboards using Excel, Power BI, and Qlik to drive CAPA investigations and process improvements.

Qualifications

• 1+ years of experience in data analysis, reporting, quality, operations, business analysis, or a related field.
• Strong experience with Microsoft Excel (manipulate, organize, analyze, visualize).
• Experience with Power BI, Qlik, Tableau, or similar data visualization/reporting tools.

Responsibilities

• Gather and organize data related to quality investigations, CAPAs, and operational issues.
• Partner with Quality and Operations teams to resolve data gaps and roadblocks.
• Manipulate, clean, and analyze data from multiple sources to identify trends and anomalies.
• Develop and maintain reports, dashboards, and visualizations to support CAPA tracking.

Skills

Data analysis

Attention to detail

Communication

Problem-solving

Independent work

Education

Bachelor's degree in Data Analytics or related field

Tools

Power BI

Qlik

Tableau

SQL

Job description

Piper Companies is seeking a Quality Data Specialist to join a leading global healthcare organization on site in Lititz, PA. The Quality Data Specialist will support quality investigations and CAPAs by gathering, organizing, manipulating, and analyzing operational and quality data to identify trends, discrepancies, and opportunities for improvement. The ideal candidate is highly comfortable working with computers and data and can translate information into actionable insights for Quality and Operations teams.

Responsibilities for the Quality Data Specialist include:

• Gather and organize data related to quality investigations, CAPAs, operational issues, and process performance.
• Partner with Quality and Operations teams to understand investigation status, identify roadblocks, and gather relevant data and documentation.
• Manipulate, clean, organize, and analyze data from multiple sources to identify trends, patterns, discrepancies, and anomalies.
• Develop and maintain reports, trackers, dashboards, and visualizations to support CAPA and investigation tracking and trending.
• Utilize Excel, Power BI, Qlik, and other data/reporting tools to analyze information and communicate key findings.
• Review data and identify meaningful trends, providing clear insights into what is happening, why it may be happening, and potential actions to address it.
• Perform data validation and quality checks to ensure information is accurate, complete, and reliable.
• Translate complex or large datasets into clear, actionable information for Quality, Operations, and other stakeholders.
• Maintain accurate documentation and records related to data gathering, reporting, investigations, and CAPAs.
• Work cross-functionally with Quality, Operations, and other internal teams to obtain information and resolve data gaps or discrepancies.
• Occasionally work on the manufacturing floor with Operations personnel to understand processes, gather information, and investigate data-related issues.
• Identify opportunities to improve reporting processes, data collection methods, tracking tools, and overall data visibility.

Qualifications for the Quality Data Specialist include:

• 1+ years of experience in data analysis, reporting, quality, operations, business analysis, or a related field.
• Strong experience with Microsoft Excel, including the ability to manipulate, organize, analyze, and visualize data.
• Experience with Power BI, Qlik, Tableau, or similar data visualization/reporting tools preferred.
• Comfortable working with large amounts of information and identifying trends, patterns, discrepancies, and actionable insights.
• Strong computer skills and the ability to quickly learn new systems, software, and databases.
• Strong analytical and problem-solving skills with the ability to investigate issues and determine relevant data points.
• Strong attention to detail and commitment to data accuracy and integrity.
• Excellent written and verbal communication skills, with the ability to communicate data findings to both technical and non-technical stakeholders.
• Ability to work independently while collaborating effectively with Quality, Operations, and cross-functional teams.
• Pharmaceutical, biotech, medical device, GMP, CAPA, or quality experience is preferred but not required.
• Bachelor's degree in Data Analytics, Business, Science, Engineering, Quality, or a related field preferred.

Compensation for the Quality Data Specialist includes:

Salary Range: $20.00-$25.00/hour

Comprehensive Benefits: Medical, Dental, Vision, 401K with company match, PTO, Sick Leave, Long-Term Disability, Short-Term Disability, and Paid Holidays.

Schedule:

This position is on site in Lititz, PA.

This job opens for applications on 9/8/26. Applications for this job will be accepted for at least 30 days from the posting date.

Keywords:

Quality Data Specialist, Quality Specialist, Quality Analyst, Data Analyst, Data Specialist, Reporting Analyst, Reporting Specialist, Operations Analyst, Business Analyst, Data Analysis, Data Analytics, Data Mining, Data Gathering, Data Manipulation, Data Reporting, Data Visualization, Data Integrity, Data Quality, Data Validation, Trend Analysis, Trending, KPI, Metrics, Reporting, Microsoft Excel, Advanced Excel, Pivot Tables, Power Query, Power BI, Qlik, Qlik Sense, Tableau, SQL, CAPA, Corrective Action, Quality Investigations, Investigations, Root Cause Analysis, Quality Assurance, Quality Systems, GMP, Pharmaceutical, Biotech, Medical Device, Manufacturing, Operations, Process Improvement, Problem Solving, Data Management, Dashboard Development, Reporting, Cross-Functional Collaboration.