At a Glance
- Tasks: Transform quality data into actionable insights and support continuous improvement across EU operations.
- Company: Join Haleon, a leader in consumer health with a commitment to diversity and inclusion.
- Benefits: Enjoy competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Be part of a culture that values diverse perspectives and fosters belonging.
- Why this job: Make a real impact by driving quality governance and performance visibility in a dynamic environment.
- Qualifications: Bachelor’s degree and 3-6 years in quality analytics or data-driven roles required.
The predicted salary is between 40000 - 50000 £ per year.
The Quality Data Analyst is accountable for enabling data-driven quality governance, performance visibility, and continuous improvement across EU quality operations. The role supports the EU Quality Excellence & Governance agenda by transforming quality, compliance, and loss data into clear insights that strengthen decision-making, reduce variability and Cost of Poor Quality (COPQ), and ensure inspection-ready oversight at enterprise level.
Key Responsibilities
- Quality Data & Analytics
- Own the collection, consolidation, validation, and analysis of EU-level quality, compliance, and performance data across manufacturing sites and operations.
- Transform complex datasets (e.g. deviations, CAPAs, audit findings, complaints, COPQ, right-first-time metrics) into clear, actionable insights for Quality Governance and senior leadership.
- Develop and maintain standardised dashboards and reporting packs to enable consistent visibility of quality performance, risk trends, and maturity progression across EU sites.
- Ensure data accuracy, traceability, and inspection-readiness, with clear definitions, governance, and documentation of data sources and methodologies.
- Governance, Metrics & Performance Management
- Support the definition, maintenance, and deployment of EU-level quality metrics and KPIs aligned to QSCP, Quality Council expectations, and business priorities.
- Monitor performance against enterprise standards, identifying variability, systemic risks, and emerging trends that require governance action or intervention.
- Provide analytical support to Management Review, Quality Council, and governance forums, enabling fact-based decision-making on risk, prioritisation, and investment.
- Track effectiveness of quality initiatives, standards deployment, and improvement actions using structured performance data and trend analysis.
- Cost of Poor Quality (COPQ) & Loss Elimination
- Analyse COPQ drivers across EU sites, identifying root causes, repeat loss patterns, and high-impact improvement opportunities.
- Support loss elimination initiatives by linking quality performance data to defect prevention, deviation reduction, and right-first-time execution.
- Enable prioritisation of improvement actions by quantifying risk, impact, and opportunity using robust data and analytical techniques.
- Continuous Improvement & Insight Generation
- Apply structured problem-solving and analytical methods to convert quality data into meaningful insights rather than descriptive reporting.
- Identify cross-site learning opportunities by comparing performance trends and recurring issues across EU operations.
- Translate analytical insights into clear stories, recommendations, and improvement focus areas for technical and non-technical stakeholders.
- Systems, Data Governance & Change Support
- Act as a key interface between quality systems (e.g. HQS, deviation and CAPA systems, audit platforms) and governance reporting.
- Support data standardisation and harmonisation efforts to reduce manual rework, ambiguity, and inconsistent interpretation across sites.
- Contribute to digital quality initiatives (e.g. smart labs, automated reporting, advanced analytics) by defining analytical requirements and use cases.
- Ensure changes to metrics, dashboards, or data models are governed, documented, and communicated effectively.
Qualification & Skills
- Bachelor’s degree in Data Analytics, Statistics, Science, Quality, or a related discipline.
- 3–6 years’ experience in quality analytics, operational performance analysis, or data driven roles within regulated or complex manufacturing environments.
- Demonstrated experience analysing quality and compliance data (e.g. deviations, CAPAs, audits, complaints, COPQ) to identify trends, risks, and improvement opportunities.
- Experience working with enterprise quality systems and performance datasets in a multi-site or matrixed organisation.
- Proven ability to translate complex data into clear insights for governance forums and senior stakeholders.
- Experience supporting quality governance, management review, or inspection readiness activities through robust analysis and reporting.
- Strong analytical and data-visualisation skills, with hands-on experience using Excel (advanced), Power BI or equivalent analytics tools.
- Solid understanding of quality systems, GMP principles, and risk-based quality management.
- Capability in trend analysis, basic statistical methods, and structured problem-solving related to quality performance.
- Strong communication skills, with the ability to present analytical insights clearly and credibly to technical experts and senior leaders.
- Proficient in MS Word, PowerPoint, and data management tools, with the ability to produce governance-ready reports and dashboards.
- Structured, disciplined working style aligned to enterprise quality and governance expectations.
Equal Opportunities
Haleon are committed to mobilising our purpose in a way that represents the diverse consumers and communities who rely on our brands every day. It guides us in creating an inclusive culture, where different backgrounds and views are valued and respected – all in support of understanding and best serving the needs of our consumers and unleashing the full potential of our people.
It’s important to us that Haleon is a place where all our employees feel they truly belong.
Adjustment or Accommodations Request
If you require a reasonable adjustment or accommodation or other assistance to apply for a job at Haleon at any stage of the application process, please let your recruiter know by providing them with a description of specific adjustments you are requesting. We’ll provide all reasonable adjustments to support you throughout the recruitment process and treat all information you provide us in confidence.
Quality Data Analyst employer: Haleon Plc.
Haleon is an exceptional employer that prioritises data-driven quality governance and continuous improvement, fostering a culture of inclusivity and respect. With a commitment to employee growth, we offer robust training opportunities and the chance to work with advanced analytics tools in a dynamic environment. Our focus on collaboration and innovation ensures that every team member can contribute meaningfully to our mission of enhancing consumer health across Europe.
StudySmarter Expert Advice🤫
We think this is how you could land Quality Data Analyst
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by practising common questions and showcasing your analytical skills. Use real examples from your experience to demonstrate how you've turned complex data into actionable insights.
✨Tip Number 3
Don’t just apply anywhere; focus on companies that align with your values and career goals. Check out our website for roles that excite you and fit your skill set!
✨Tip Number 4
Follow up after interviews! A quick thank-you email can leave a lasting impression and show your enthusiasm for the role. Plus, it keeps you on their radar.
We think you need these skills to ace Quality Data Analyst
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the Quality Data Analyst role. Highlight your experience with data analytics, quality systems, and any relevant projects that showcase your skills in transforming complex datasets into actionable insights.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're passionate about quality governance and how your background aligns with our mission at StudySmarter. Be specific about your achievements and how they relate to the responsibilities outlined in the job description.
Showcase Your Analytical Skills:In your application, don’t just list your skills—demonstrate them! Include examples of how you've used analytical methods to drive improvements or solve problems in previous roles. We love seeing real-world applications of your expertise!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you’re considered for the role. Plus, it’s super easy to do—just follow the prompts and submit your materials!
How to prepare for a job interview at Haleon Plc.
✨Know Your Data Inside Out
As a Quality Data Analyst, you'll be dealing with complex datasets. Make sure you understand the key metrics and data sources mentioned in the job description. Brush up on your knowledge of deviations, CAPAs, and COPQ so you can confidently discuss how you've used these in past roles.
✨Showcase Your Analytical Skills
Prepare to demonstrate your analytical prowess during the interview. Bring examples of how you've transformed data into actionable insights. Be ready to explain your approach to trend analysis and how you've supported quality governance in previous positions.
✨Familiarise Yourself with Tools
The role requires strong skills in Excel and Power BI. If you haven't already, practice using these tools to create dashboards or reports. During the interview, mention specific projects where you've utilised these tools to enhance quality performance visibility.
✨Communicate Clearly and Confidently
You'll need to present your findings to both technical and non-technical stakeholders. Practice explaining complex data in simple terms. Use storytelling techniques to convey your insights effectively, ensuring that your communication style aligns with the expectations of senior leadership.
