Senior Data Analyst

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🇬🇧 United Kingdom – Remote

⏰ Full Time

🟠 Senior

📉 Data Analyst

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Henry Schein

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1932

⚕️ Healthcare Insurance

💊 Pharmaceuticals

🤝 B2B

Healthcare Insurance • Pharmaceuticals • B2B

Henry Schein is a global company dedicated to servicing a range of medical and dental providers. It offers a comprehensive portfolio of products and solutions, including practice management software, large equipment, and technology services. Founded in 1932, Henry Schein has established itself as a leader in healthcare products and services, with a commitment to improving health and increasing access to care through strategic growth and innovation across its global operations.

📋 Description

• Act as a senior analytics delivery point of contact for Product, Commercial, Customer, and Revenue teams, working with your manager to triage, prioritise, and respond to requests. • Help shape, prioritise, and sequence your own workload, and junior members, based on business value, strategic importance, and available capacity, escalating prioritisation conflicts to your manager where required. • Balance short-term operational needs with longer-term, scalable insight, explicitly focusing effort on the work with the greatest impact. • Generate actionable, data-led insights into product performance and customer behaviour, linking feature usage to retention, growth, recall effectiveness, and commercial outcomes, and clearly communicate product value to support strategic decision-making and legacy platform migration. • Contribute towards the evolution of product and commercial experimentation and causal analysis practices in partnership with Product, Engineering, and the wider Data & AI team. • Support in the delivery of well-designed experiment frameworks, through strong hypothesis framing, metric selection, and post-test deep dive analysis, applying advanced analytical techniques (e.g. causal analysis, forecasting, segmentation) to extract insight, drive learning, and de-risk product and commercial decisions. • Ensure continuity of critical customer and commercial analytics workstreams you own. • Identify opportunities to simplify, automate, or self-serve legacy reporting and insights over time with AI/automation approaches. • Reduce reliance on manual or low-value analytics activities, refocusing effort on scalable, high impact insight. • Operate strongly hands-on in analytics day-to-day, writing SQL and/or Python to build analytical models and deliver insight, and contribute to the team code base. • Design and deliver advanced analyses, including churn and risk modelling, forecasting, and performance deep dives. • Quality-assure your own analytical outputs to ensure accuracy, clarity, and relevance, and peer-review the work of other analysts as the team grows. • Act as a senior technical contributor and role model within the analytics function, raising the bar on analytical thinking, delivery discipline, and stakeholder engagement. • Share knowledge and support more junior analysts through technical guidance, code review, IP sharing, and informal coaching as the team expands. • Promote an inclusive and collaborative culture, in line with the Henry Schein One values.

🎯 Requirements

• Proven experience as a Senior Data Analyst (or equivalent) operating with significant ownership and autonomy over your own workstreams. • Demonstrated ability to deliver high-impact insights across product, commercial, and customer domains. Experienced in prioritising and delivering analytics work in fast-paced, evolving environments. • Exposure to healthcare or regulated environments is desirable but not essential. • Advanced SQL and Python skills, with the ability to work confidently across large, complex datasets. • Strong analytical modelling skills, including forecasting, client segmentation, and risk or churn analysis. • Experience working with modern analytics engineering concepts, including dbt or similar tooling. • Familiarity with commercial and product experimentation, AB testing, experimentation frameworks, causal analysis, and evaluation of product and commercial initiatives. • Comfortable working in cloud-based analytics environments; familiarity with AWS analytics or ML services is a plus but not essential. • Strong commercial judgement, with a clear focus on ROI, value creation, and drip-feeding value. • Excellent communication and influencing skills, able to translate complex analysis into clear, compelling insights that inform business decisions. • Willing to challenge the status quo and focus effort on what delivers the greatest impact.

🏖️ Benefits

• Occasional travel for company offsites, workshops, or collaboration sessions