At a Glance
- Tasks: Analyse quality data to drive performance improvements and support governance across EU operations.
- Company: Join Haleon, a forward-thinking company committed to quality and inclusivity.
- Benefits: Enjoy competitive pay, flexible work options, and opportunities for professional growth.
- Other info: Be part of a diverse team that values your unique perspective and fosters career development.
- Why this job: Make a real impact by transforming data into actionable insights for quality governance.
- Qualifications: Bachelor's degree in a relevant field and experience in quality analytics.
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.
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 is an equal‑opportunity employer committed to building an inclusive culture where diverse perspectives are valued. We strive to create a workplace where all employees feel they belong, and we support reasonable adjustments or accommodations for applicants and employees in accordance with applicable regulations.
Quality Data Analyst employer: Haleon
Haleon is an exceptional employer that prioritises data-driven quality governance and continuous improvement, offering a collaborative work culture where employees can thrive. With a strong commitment to employee growth, you will have access to advanced analytics tools and opportunities to contribute to innovative digital quality initiatives, all while working in a diverse and inclusive environment that values your unique perspectives.
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 data into actionable insights.
✨Tip Number 3
Don’t just apply and wait! Follow up on your applications with a friendly email. It shows your enthusiasm and keeps you on their radar. Plus, it’s a great way to ask if they need any more info from you.
✨Tip Number 4
Check out our website for job openings and apply directly. We love seeing candidates who are proactive and genuinely interested in joining our team. Let’s get you that Quality Data Analyst role!
We think you need these skills to ace Quality Data Analyst
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Quality Data Analyst role. Highlight your experience with data analytics, quality governance, and any relevant tools like Excel or Power BI. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're passionate about quality data analysis and how your background makes you a great fit for our team. Keep it engaging and relevant to the job description.
Showcase Your Analytical Skills:In your application, don’t forget to showcase your analytical skills. Provide examples of how you've transformed complex datasets into actionable insights 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 the best chance of getting noticed. It’s straightforward and ensures your application goes directly to us. Plus, we can’t wait to see what you bring to the table!
How to prepare for a job interview at Haleon
✨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. Use specific instances where your analysis led to improvements or informed decision-making, especially in quality governance.
✨Familiarise Yourself with Tools
The role requires strong skills in Excel and Power BI. Before the interview, ensure you're comfortable discussing your experience with these tools. If possible, prepare to share a dashboard or report you've created that highlights your ability to present data clearly.
✨Communicate Clearly and Confidently
You'll need to present insights to both technical and non-technical stakeholders. Practice explaining complex data in simple terms. During the interview, focus on clarity and confidence in your communication, as this will reflect your ability to engage with diverse audiences.
