Entry Level Quality Analyst Associate

HYBRID

Schedule

• Hybrid schedule
• Remote Monday and Friday

PAY: $24-$26/hr

Required Skills

• Basic understanding of statistics and statistical analysis (not looking for an advanced statistician).
• Experience using Excel for statistical or data analysis is required.
• Familiarity with statistical process control (SPC) and control charts
• Strong attention to detail with the ability to verify both your own work and the work of others.
• Excellent written and verbal communication skills.
• Ability to work independently with minimal direction.
• Pharmaceutical or medical device experience

Candidate Profile

• Relatively entry-level position.
• 6 months to 1 year of relevant experience preferred , but will consider candidates with less experience if they have applicable academic or internship experience.
• Master's degree is not ideal due to the risk of being overqualified.
• Preferred backgrounds include science, mathematics, quality, or data analysis , though a specific degree is not mandatory.

Day-to-Day Responsibilities

• Heavy focus on statistical analysis and data analytics involving product testing data.
• Compile and analyze quality data.
• Create charts, trend analyses, and statistical reports.
• Prepare and present reports to internal stakeholders.
• Verify data accuracy and review reports for quality and consistency.

Preferred Technical Skills

• Microsoft Excel (primary tool; VBA experience is a plus)
• Minitab
• JMP
• Power BI (nice to have)
• Experience troubleshooting or working with Excel macros is beneficial.

Experience Expectations

• 6 months to 1 year of relevant industry experience is preferred.
• Internships, co-ops, or short-term industry contracts are viewed favorably.
• Academic research involving statistical analysis, quality data, or similar analytical work may be accepted in place of industry experience.
• Candidates with hands-on statistical or quality data analysis experience will be stronger than candidates who only have coursework or an associate degree.

What the Manager Is Looking For

• Detail-oriented individual with strong analytical skills.
• Comfortable working extensively in Excel with statistical data.
• Ability to identify trends and communicate findings clearly to cross-functional stakeholders.
• Quick learner who can adapt to new reporting tools and processes.
• Someone with foundational statistical knowledge—not an advanced statistician or data scientist.