Analyst 1: Data, Quality & Compliance (Science)

ALS; Hawarden; On-site; GBP 23,000 - 28,000; Full time

Benefits offered by this job

Annual leave 25-30 days

Buy extra leave

Sick pay

Salary progression

Celebrating Success awards

Perkbox access

Learning support

Pension plan

On-site parking

Job summary

ALS is seeking a highly motivated Analyst (Level 3) to join our scientific team in the United Kingdom. The role focuses on delivering high‑quality analysis to support operations, troubleshoot equipment, and report on non-conformances within the QMS.

You’ll train colleagues and ensure safety standards, including COSHH assessments. Working 37 hours a week (Mon-Fri, 08:00–16:00) on a permanent contract, you’ll develop advanced analytical skills while contributing to a healthy, data‑driven future

Qualifications

• Degree in a scientific subject is required.
• Lab experience is desirable.
• Strong problem-solving and attention to detail.
• Ability to train colleagues and collaborate in a team.
• Good communication and IT skills.

Responsibilities

• Complete sample analysis to required timescales and quality standards.
• Ensure samples meet compliance with our quality management system.
• Handle more complex analytical techniques with confidence.
• Interpret and report analytical data effectively.
• Maintain daily service delivery in line with company KPIs.
• Collaborate with team members to ensure efficient sample workflows.

Skills

Science degree

Lab experience

Problem solving

Training & teamwork

Communication

IT skills

Education

Science degree

Job description

ALS is seeking a highly motivated Analyst (Level 3) to join our scientific team in the United Kingdom. The role focuses on delivering high‑quality analysis to support operations, troubleshoot equipment, and report on non-conformances within the QMS.

You’ll train colleagues and ensure safety standards, including COSHH assessments. Working 37 hours a week (Mon-Fri, 08:00–16:00) on a permanent contract, you’ll develop advanced analytical skills while contributing to a healthy, data‑driven future